Predict Bike Sharing Demand with AutoGluon Template

Project: Predict Bike Sharing Demand with AutoGluon

This notebook is a template with each step that you need to complete for the project.

Please fill in your code where there are explicit ? markers in the notebook. You are welcome to add more cells and code as you see fit.

Once you have completed all the code implementations, please export your notebook as a HTML file so the reviews can view your code. Make sure you have all outputs correctly outputted.

File-> Export Notebook As... -> Export Notebook as HTML

There is a writeup to complete as well after all code implememtation is done. Please answer all questions and attach the necessary tables and charts. You can complete the writeup in either markdown or PDF.

Completing the code template and writeup template will cover all of the rubric points for this project.

The rubric contains "Stand Out Suggestions" for enhancing the project beyond the minimum requirements. The stand out suggestions are optional. If you decide to pursue the "stand out suggestions", you can include the code in this notebook and also discuss the results in the writeup file.

Step 1: Create an account with Kaggle

Create Kaggle Account and download API key

Below is example of steps to get the API username and key. Each student will have their own username and key.

  1. Open account settings. kaggle1.png kaggle2.png
  2. Scroll down to API and click Create New API Token. kaggle3.png kaggle4.png
  3. Open up kaggle.json and use the username and key. kaggle5.png

Step 2: Download the Kaggle dataset using the kaggle python library

Open up Sagemaker Studio and use starter template

  1. Notebook should be using a ml.t3.medium instance (2 vCPU + 4 GiB)
  2. Notebook should be using kernal: Python 3 (MXNet 1.8 Python 3.7 CPU Optimized)

Install packages

In [ ]:
!pip install -U pip
!pip install -U setuptools wheel
!pip install -U "mxnet<2.0.0" bokeh==2.0.1
!pip install autogluon --no-cache-dir
# Without --no-cache-dir, smaller aws instances may have trouble installing
Requirement already satisfied: pip in c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages (21.1.3)
Collecting pip
  Downloading pip-21.3.1-py3-none-any.whl (1.7 MB)
Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 21.1.3
    Uninstalling pip-21.1.3:
      Successfully uninstalled pip-21.1.3
ERROR: Could not install packages due to an OSError: [WinError 5] Access is denied: 'C:\\Users\\Public\\Documents\\Wondershare\\CreatorTemp\\pip-uninstall-3dcgrmz4\\pip.exe'
Consider using the `--user` option or check the permissions.

Requirement already satisfied: setuptools in c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages (52.0.0.post20210125)
Collecting setuptools
  Downloading setuptools-59.4.0-py3-none-any.whl (952 kB)
Requirement already satisfied: wheel in c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages (0.36.2)
Collecting wheel
  Using cached wheel-0.37.0-py2.py3-none-any.whl (35 kB)
Installing collected packages: wheel, setuptools
  Attempting uninstall: wheel
    Found existing installation: wheel 0.36.2
    Uninstalling wheel-0.36.2:
      Successfully uninstalled wheel-0.36.2
  Attempting uninstall: setuptools
    Found existing installation: setuptools 52.0.0.post20210125
    Uninstalling setuptools-52.0.0.post20210125:
      Successfully uninstalled setuptools-52.0.0.post20210125
Successfully installed setuptools-59.4.0 wheel-0.37.0

Setup Kaggle API Key

In [ ]:
# create the .kaggle directory and an empty kaggle.json file
!mkdir -p /root/.kaggle
!touch /root/.kaggle/kaggle.json
!chmod 600 /root/.kaggle/kaggle.json
In [ ]:
# Fill in your user name and key from creating the kaggle account and API token file
import json
kaggle_username = "FILL_IN_USERNAME"
kaggle_key = "FILL_IN_KEY"

# Save API token the kaggle.json file
with open("/root/.kaggle/kaggle.json", "w") as f:
    f.write(json.dumps({"username": kaggle_username, "key": kaggle_key}))

Download and explore dataset

Go to the bike sharing demand competition and agree to the terms

kaggle6.png

In [ ]:
# Download the dataset, it will be in a .zip file so you'll need to unzip it as well.
!kaggle competitions download -c bike-sharing-demand
# If you already downloaded it you can use the -o command to overwrite the file
!unzip -o bike-sharing-demand.zip
In [1]:
import pandas as pd
from autogluon.tabular import TabularPredictor
In [178]:
# Create the train dataset in pandas by reading the csv
# Set the parsing of the datetime column so you can use some of the `dt` features in pandas later
train = pd.read_csv('train.csv')
train.head()
Out[178]:
datetime season holiday workingday weather temp atemp humidity windspeed casual registered count
0 2011-01-01 00:00:00 1 0 0 1 9.84 14.395 81 0.0 3 13 16
1 2011-01-01 01:00:00 1 0 0 1 9.02 13.635 80 0.0 8 32 40
2 2011-01-01 02:00:00 1 0 0 1 9.02 13.635 80 0.0 5 27 32
3 2011-01-01 03:00:00 1 0 0 1 9.84 14.395 75 0.0 3 10 13
4 2011-01-01 04:00:00 1 0 0 1 9.84 14.395 75 0.0 0 1 1
In [3]:
# Simple output of the train dataset to view some of the min/max/varition of the dataset features.
train.describe()
Out[3]:
season holiday workingday weather temp atemp humidity windspeed casual registered count
count 10886.000000 10886.000000 10886.000000 10886.000000 10886.00000 10886.000000 10886.000000 10886.000000 10886.000000 10886.000000 10886.000000
mean 2.506614 0.028569 0.680875 1.418427 20.23086 23.655084 61.886460 12.799395 36.021955 155.552177 191.574132
std 1.116174 0.166599 0.466159 0.633839 7.79159 8.474601 19.245033 8.164537 49.960477 151.039033 181.144454
min 1.000000 0.000000 0.000000 1.000000 0.82000 0.760000 0.000000 0.000000 0.000000 0.000000 1.000000
25% 2.000000 0.000000 0.000000 1.000000 13.94000 16.665000 47.000000 7.001500 4.000000 36.000000 42.000000
50% 3.000000 0.000000 1.000000 1.000000 20.50000 24.240000 62.000000 12.998000 17.000000 118.000000 145.000000
75% 4.000000 0.000000 1.000000 2.000000 26.24000 31.060000 77.000000 16.997900 49.000000 222.000000 284.000000
max 4.000000 1.000000 1.000000 4.000000 41.00000 45.455000 100.000000 56.996900 367.000000 886.000000 977.000000
In [4]:
# Create the test pandas dataframe in pandas by reading the csv, remember to parse the datetime!
test = pd.read_csv('test.csv')
test.head()
Out[4]:
datetime season holiday workingday weather temp atemp humidity windspeed
0 2011-01-20 00:00:00 1 0 1 1 10.66 11.365 56 26.0027
1 2011-01-20 01:00:00 1 0 1 1 10.66 13.635 56 0.0000
2 2011-01-20 02:00:00 1 0 1 1 10.66 13.635 56 0.0000
3 2011-01-20 03:00:00 1 0 1 1 10.66 12.880 56 11.0014
4 2011-01-20 04:00:00 1 0 1 1 10.66 12.880 56 11.0014
In [5]:
# Same thing as train and test dataset
submission = pd.read_csv('sampleSubmission.csv')
submission.head()
Out[5]:
datetime count
0 2011-01-20 00:00:00 0
1 2011-01-20 01:00:00 0
2 2011-01-20 02:00:00 0
3 2011-01-20 03:00:00 0
4 2011-01-20 04:00:00 0

Step 3: Train a model using AutoGluon’s Tabular Prediction

Requirements:

  • We are prediting count, so it is the label we are setting.
  • Ignore casual and registered columns as they are also not present in the test dataset.
  • Use the root_mean_squared_error as the metric to use for evaluation.
  • Set a time limit of 10 minutes (600 seconds).
  • Use the preset best_quality to focus on creating the best model.
In [179]:
#Drop the non-used columns and train the first model 
df = train.drop(columns=['casual', 'registered'])
predictor = TabularPredictor(label="count",eval_metric='root_mean_squared_error').fit(
    train_data=df,
    time_limit=60,
    presets="best_quality",
     
)
No path specified. Models will be saved in: "AutogluonModels/ag-20211211_105451\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 60s
AutoGluon will save models to "AutogluonModels/ag-20211211_105451\"
AutoGluon Version:  0.3.1
Train Data Rows:    10886
Train Data Columns: 9
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == int and many unique label-values observed).
	Label info (max, min, mean, stddev): (977, 1, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    3251.59 MB
	Train Data (Original)  Memory Usage: 1.52 MB (0.0% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 2 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Types of features in original data (raw dtype, special dtypes):
		('float', [])                      : 3 | ['temp', 'atemp', 'windspeed']
		('int', [])                        : 5 | ['season', 'holiday', 'workingday', 'weather', 'humidity']
		('object', ['datetime_as_object']) : 1 | ['datetime']
	Types of features in processed data (raw dtype, special dtypes):
		('float', [])                : 3 | ['temp', 'atemp', 'windspeed']
		('int', [])                  : 3 | ['season', 'weather', 'humidity']
		('int', ['bool'])            : 2 | ['holiday', 'workingday']
		('int', ['datetime_as_int']) : 1 | ['datetime']
	0.1s = Fit runtime
	9 features in original data used to generate 9 features in processed data.
	Train Data (Processed) Memory Usage: 0.63 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.12s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
	To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 39.91s of the 59.87s of remaining time.
	-160.4131	 = Validation score   (root_mean_squared_error)
	0.05s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 39.61s of the 59.57s of remaining time.
	-169.5521	 = Validation score   (root_mean_squared_error)
	0.04s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 39.33s of the 59.29s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 123.806	valid_set's rmse: 134.369
[2000]	train_set's rmse: 117.412	valid_set's rmse: 133.705
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 123.42	valid_set's rmse: 141.5
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 125.097	valid_set's rmse: 128.797
[2000]	train_set's rmse: 119.003	valid_set's rmse: 127.909
[3000]	train_set's rmse: 114.63	valid_set's rmse: 127.431
[4000]	train_set's rmse: 111.295	valid_set's rmse: 126.943
[5000]	train_set's rmse: 108.576	valid_set's rmse: 126.844
	Ran out of time, early stopping on iteration 5236. Best iteration is:
	[4548]	train_set's rmse: 109.8	valid_set's rmse: 126.745
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 124.131	valid_set's rmse: 138.303
[2000]	train_set's rmse: 117.833	valid_set's rmse: 137.535
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 124.871	valid_set's rmse: 128.052
[2000]	train_set's rmse: 118.547	valid_set's rmse: 127.003
[3000]	train_set's rmse: 114.124	valid_set's rmse: 126.834
[4000]	train_set's rmse: 110.645	valid_set's rmse: 126.694
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 124.654	valid_set's rmse: 135.095
[2000]	train_set's rmse: 118.764	valid_set's rmse: 133.849
[3000]	train_set's rmse: 114.615	valid_set's rmse: 133.509
[4000]	train_set's rmse: 111.249	valid_set's rmse: 133.472
[5000]	train_set's rmse: 108.455	valid_set's rmse: 133.281
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 124.01	valid_set's rmse: 139.355
[2000]	train_set's rmse: 117.819	valid_set's rmse: 138.312
[3000]	train_set's rmse: 113.4	valid_set's rmse: 137.886
[4000]	train_set's rmse: 110.032	valid_set's rmse: 137.758
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 124.47	valid_set's rmse: 135.412
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 124.18	valid_set's rmse: 137.579
[2000]	train_set's rmse: 117.782	valid_set's rmse: 136.664
[3000]	train_set's rmse: 113.447	valid_set's rmse: 136.246
[4000]	train_set's rmse: 109.982	valid_set's rmse: 136.227
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 124.641	valid_set's rmse: 132.484
	-134.1	 = Validation score   (root_mean_squared_error)
	26.3s	 = Training   runtime
	1.8s	 = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 8.73s of the 28.69s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 509. Best iteration is:
	[507]	train_set's rmse: 108.354	valid_set's rmse: 124.37
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 749. Best iteration is:
	[749]	train_set's rmse: 99.8164	valid_set's rmse: 135.743
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 254. Best iteration is:
	[253]	train_set's rmse: 117.521	valid_set's rmse: 127.045
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 259. Best iteration is:
	[257]	train_set's rmse: 116.95	valid_set's rmse: 134.66
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 279. Best iteration is:
	[278]	train_set's rmse: 115.451	valid_set's rmse: 137.913
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 373. Best iteration is:
	[370]	train_set's rmse: 112.037	valid_set's rmse: 133.094
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 165. Best iteration is:
	[165]	train_set's rmse: 121.505	valid_set's rmse: 138.27
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 46. Best iteration is:
	[46]	train_set's rmse: 134.225	valid_set's rmse: 136.262
	-133.9571	 = Validation score   (root_mean_squared_error)
	8.07s	 = Training   runtime
	0.18s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 0.07s of the 20.03s of remaining time.
	-118.4567	 = Validation score   (root_mean_squared_error)
	4.04s	 = Training   runtime
	0.47s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 59.88s of the 13.62s of remaining time.
	-118.4567	 = Validation score   (root_mean_squared_error)
	0.33s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 13.29s of the 13.28s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-117.6332	 = Validation score   (root_mean_squared_error)
	5.3s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 7.65s of the 7.64s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-117.9319	 = Validation score   (root_mean_squared_error)
	4.13s	 = Training   runtime
	0.05s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 3.37s of the 3.36s of remaining time.
	-120.8221	 = Validation score   (root_mean_squared_error)
	8.57s	 = Training   runtime
	0.95s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 59.88s of the -8.58s of remaining time.
	-117.3183	 = Validation score   (root_mean_squared_error)
	0.33s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 68.94s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211211_105451\")

Review AutoGluon's training run with ranking of models that did the best.

In [18]:
#Show a summary of the Predictor
predictor.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
                    model   score_val  pred_time_val   fit_time  pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  fit_order
0     WeightedEnsemble_L3 -116.525819       4.917321  46.685643                0.000999           0.215887            3       True         10
1       LightGBMXT_BAG_L2 -116.828497       4.429621  36.058200                0.171920           5.642719            2       True          7
2         LightGBM_BAG_L2 -117.254132       4.334635  34.243237                0.076935           3.827757            2       True          8
3  RandomForestMSE_BAG_L1 -118.456660       0.323833   2.730428                0.323833           2.730428            1       True          4
4     WeightedEnsemble_L2 -118.456660       0.324832   3.041250                0.000999           0.310822            2       True          6
5  RandomForestMSE_BAG_L2 -120.029292       4.667467  36.999279                0.409767           6.583799            2       True          9
6    ExtraTreesMSE_BAG_L1 -128.733445       0.323835   1.369210                0.323835           1.369210            1       True          5
7       LightGBMXT_BAG_L1 -134.088334       3.383063  26.210903                3.383063          26.210903            1       True          3
8   KNeighborsUnif_BAG_L1 -160.413078       0.112922   0.055968                0.112922           0.055968            1       True          1
9   KNeighborsDist_BAG_L1 -169.552096       0.114047   0.048972                0.114047           0.048972            1       True          2
Number of models trained: 10
Types of models trained:
{'StackerEnsembleModel_LGB', 'StackerEnsembleModel_XT', 'StackerEnsembleModel_RF', 'WeightedEnsembleModel', 'StackerEnsembleModel_KNN'}
Bagging used: True  (with 10 folds)
Multi-layer stack-ensembling used: True  (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('float', [])                : 3 | ['temp', 'atemp', 'windspeed']
('int', [])                  : 3 | ['season', 'weather', 'humidity']
('int', ['bool'])            : 2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) : 1 | ['datetime']
Plot summary of models saved to file: AutogluonModels/ag-20211207_124116\SummaryOfModels.html
*** End of fit() summary ***
Out[18]:
{'model_types': {'KNeighborsUnif_BAG_L1': 'StackerEnsembleModel_KNN',
  'KNeighborsDist_BAG_L1': 'StackerEnsembleModel_KNN',
  'LightGBMXT_BAG_L1': 'StackerEnsembleModel_LGB',
  'RandomForestMSE_BAG_L1': 'StackerEnsembleModel_RF',
  'ExtraTreesMSE_BAG_L1': 'StackerEnsembleModel_XT',
  'WeightedEnsemble_L2': 'WeightedEnsembleModel',
  'LightGBMXT_BAG_L2': 'StackerEnsembleModel_LGB',
  'LightGBM_BAG_L2': 'StackerEnsembleModel_LGB',
  'RandomForestMSE_BAG_L2': 'StackerEnsembleModel_RF',
  'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
 'model_performance': {'KNeighborsUnif_BAG_L1': -160.4130779463501,
  'KNeighborsDist_BAG_L1': -169.55209635208928,
  'LightGBMXT_BAG_L1': -134.08833420116997,
  'RandomForestMSE_BAG_L1': -118.45666016795705,
  'ExtraTreesMSE_BAG_L1': -128.7334450621692,
  'WeightedEnsemble_L2': -118.45666016795705,
  'LightGBMXT_BAG_L2': -116.82849711714496,
  'LightGBM_BAG_L2': -117.25413238595938,
  'RandomForestMSE_BAG_L2': -120.02929221036626,
  'WeightedEnsemble_L3': -116.52581891220792},
 'model_best': 'WeightedEnsemble_L3',
 'model_paths': {'KNeighborsUnif_BAG_L1': 'AutogluonModels/ag-20211207_124116\\models\\KNeighborsUnif_BAG_L1\\',
  'KNeighborsDist_BAG_L1': 'AutogluonModels/ag-20211207_124116\\models\\KNeighborsDist_BAG_L1\\',
  'LightGBMXT_BAG_L1': 'AutogluonModels/ag-20211207_124116\\models\\LightGBMXT_BAG_L1\\',
  'RandomForestMSE_BAG_L1': 'AutogluonModels/ag-20211207_124116\\models\\RandomForestMSE_BAG_L1\\',
  'ExtraTreesMSE_BAG_L1': 'AutogluonModels/ag-20211207_124116\\models\\ExtraTreesMSE_BAG_L1\\',
  'WeightedEnsemble_L2': 'AutogluonModels/ag-20211207_124116\\models\\WeightedEnsemble_L2\\',
  'LightGBMXT_BAG_L2': 'AutogluonModels/ag-20211207_124116\\models\\LightGBMXT_BAG_L2\\',
  'LightGBM_BAG_L2': 'AutogluonModels/ag-20211207_124116\\models\\LightGBM_BAG_L2\\',
  'RandomForestMSE_BAG_L2': 'AutogluonModels/ag-20211207_124116\\models\\RandomForestMSE_BAG_L2\\',
  'WeightedEnsemble_L3': 'AutogluonModels/ag-20211207_124116\\models\\WeightedEnsemble_L3\\'},
 'model_fit_times': {'KNeighborsUnif_BAG_L1': 0.05596804618835449,
  'KNeighborsDist_BAG_L1': 0.04897189140319824,
  'LightGBMXT_BAG_L1': 26.21090292930603,
  'RandomForestMSE_BAG_L1': 2.7304279804229736,
  'ExtraTreesMSE_BAG_L1': 1.3692100048065186,
  'WeightedEnsemble_L2': 0.310821533203125,
  'LightGBMXT_BAG_L2': 5.642719268798828,
  'LightGBM_BAG_L2': 3.827756643295288,
  'RandomForestMSE_BAG_L2': 6.58379864692688,
  'WeightedEnsemble_L3': 0.21588730812072754},
 'model_pred_times': {'KNeighborsUnif_BAG_L1': 0.11292243003845215,
  'KNeighborsDist_BAG_L1': 0.11404681205749512,
  'LightGBMXT_BAG_L1': 3.383063316345215,
  'RandomForestMSE_BAG_L1': 0.32383298873901367,
  'ExtraTreesMSE_BAG_L1': 0.3238346576690674,
  'WeightedEnsemble_L2': 0.0009989738464355469,
  'LightGBMXT_BAG_L2': 0.1719202995300293,
  'LightGBM_BAG_L2': 0.0769345760345459,
  'RandomForestMSE_BAG_L2': 0.40976691246032715,
  'WeightedEnsemble_L3': 0.0009992122650146484},
 'num_bag_folds': 10,
 'max_stack_level': 3,
 'model_hyperparams': {'KNeighborsUnif_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'KNeighborsDist_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'LightGBMXT_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'RandomForestMSE_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'ExtraTreesMSE_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'WeightedEnsemble_L2': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBMXT_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBM_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'RandomForestMSE_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'WeightedEnsemble_L3': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True}},
 'leaderboard':                     model   score_val  pred_time_val   fit_time  \
 0     WeightedEnsemble_L3 -116.525819       4.917321  46.685643   
 1       LightGBMXT_BAG_L2 -116.828497       4.429621  36.058200   
 2         LightGBM_BAG_L2 -117.254132       4.334635  34.243237   
 3  RandomForestMSE_BAG_L1 -118.456660       0.323833   2.730428   
 4     WeightedEnsemble_L2 -118.456660       0.324832   3.041250   
 5  RandomForestMSE_BAG_L2 -120.029292       4.667467  36.999279   
 6    ExtraTreesMSE_BAG_L1 -128.733445       0.323835   1.369210   
 7       LightGBMXT_BAG_L1 -134.088334       3.383063  26.210903   
 8   KNeighborsUnif_BAG_L1 -160.413078       0.112922   0.055968   
 9   KNeighborsDist_BAG_L1 -169.552096       0.114047   0.048972   
 
    pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  \
 0                0.000999           0.215887            3       True   
 1                0.171920           5.642719            2       True   
 2                0.076935           3.827757            2       True   
 3                0.323833           2.730428            1       True   
 4                0.000999           0.310822            2       True   
 5                0.409767           6.583799            2       True   
 6                0.323835           1.369210            1       True   
 7                3.383063          26.210903            1       True   
 8                0.112922           0.055968            1       True   
 9                0.114047           0.048972            1       True   
 
    fit_order  
 0         10  
 1          7  
 2          8  
 3          4  
 4          6  
 5          9  
 6          5  
 7          3  
 8          1  
 9          2  }
In [8]:
#Summary of the top predictor scores 
predictor.leaderboard(df, silent=True)
Out[8]:
model score_test score_val pred_time_test pred_time_val fit_time pred_time_test_marginal pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 RandomForestMSE_BAG_L1 -43.634011 -118.456660 0.632069 0.350819 2.670399 0.632069 0.350819 2.670399 1 True 5
1 WeightedEnsemble_L2 -43.634011 -118.456660 0.640065 0.351823 2.990219 0.007997 0.001004 0.319819 2 True 6
2 LightGBM_BAG_L2 -64.027416 -117.571913 18.166591 2.978304 39.001745 0.319816 0.056966 3.523970 2 True 8
3 WeightedEnsemble_L3 -64.217731 -117.101612 19.020701 3.112224 44.428629 0.007769 0.000000 0.212890 3 True 10
4 LightGBMXT_BAG_L2 -65.338738 -117.536940 18.693117 3.055258 40.691769 0.846342 0.133920 5.213994 2 True 7
5 RandomForestMSE_BAG_L2 -65.391408 -120.872583 18.446479 3.348073 41.980420 0.599704 0.426736 6.502644 2 True 9
6 KNeighborsDist_BAG_L1 -68.114477 -169.552096 0.131080 0.112583 0.044974 0.131080 0.112583 0.044974 1 True 2
7 LightGBM_BAG_L1 -102.898965 -132.344251 1.797965 0.213881 7.078919 1.797965 0.213881 7.078919 1 True 4
8 LightGBMXT_BAG_L1 -116.342281 -134.100042 15.162717 2.131772 25.636512 15.162717 2.131772 25.636512 1 True 3
9 KNeighborsUnif_BAG_L1 -130.801229 -160.413078 0.122945 0.112283 0.046972 0.122945 0.112283 0.046972 1 True 1
In [20]:
#Show the features' importance scores 
predictor.feature_importance(data=df)
Computing feature importance via permutation shuffling for 9 features using 1000 rows with 3 shuffle sets...
	173.03s	= Expected runtime (57.68s per shuffle set)
	109.93s	= Actual runtime (Completed 3 of 3 shuffle sets)
Out[20]:
importance stddev p_value n p99_high p99_low
datetime 114.578957 2.056792 0.000054 3 126.364603 102.793312
humidity 85.476958 4.246491 0.000411 3 109.809820 61.144096
atemp 80.665268 3.179611 0.000259 3 98.884790 62.445746
temp 47.347653 1.602999 0.000191 3 56.533016 38.162289
windspeed 30.944962 4.054998 0.002838 3 54.180549 7.709375
workingday 15.309436 2.559048 0.004593 3 29.973063 0.645810
weather 10.638480 1.189232 0.002070 3 17.452911 3.824049
holiday 0.743894 0.076601 0.001758 3 1.182825 0.304963
season 0.543100 1.316102 0.274467 3 8.084510 -6.998310

Create predictions from test dataset

In [10]:
#Create prediction 
predictions = predictor.predict(test)
predictions.head()
Out[10]:
0    100.086792
1     88.135239
2     88.135239
3    116.114746
4    116.114746
Name: count, dtype: float32

NOTE: Kaggle will reject the submission if we don't set everything to be > 0.

In [11]:
# Describe the `predictions` series to see if there are any negative values
predictions.describe()
Out[11]:
count    6493.000000
mean      209.554092
std       124.452072
min        15.967967
25%       109.388290
50%       195.461670
75%       288.361084
max       628.322876
Name: count, dtype: float64
In [12]:
# How many negative values do we have?
(predictions < 0).values.any()
Out[12]:
False
In [13]:
# Set them to zero
predictions[predictions<0] = 0

Set predictions to submission dataframe, save, and submit

In [14]:
submission["count"] = predictions
submission.to_csv("submission.csv", index=False)
In [15]:
!kaggle competitions submit -c bike-sharing-demand -f submission.csv -m "first raw submission"
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,

  0%|          | 0.00/195k [00:00<?, ?B/s]
  4%|4         | 8.00k/195k [00:00<00:05, 38.1kB/s]
 49%|####9     | 96.0k/195k [00:00<00:00, 373kB/s] 
100%|##########| 195k/195k [00:00<00:00, 583kB/s] 
100%|##########| 195k/195k [00:02<00:00, 94.1kB/s]

View submission via the command line or in the web browser under the competition's page - My Submissions

In [16]:
!kaggle competitions submissions -c bike-sharing-demand 
fileName                       date                 description                                   status    publicScore  privateScore  
-----------------------------  -------------------  --------------------------------------------  --------  -----------  ------------  
submission.csv                 2021-12-08 11:13:27  first raw submission                          complete  1.38952      1.38952       
submission_new_hpo.csv         2021-12-08 11:06:33  new features with hyperparameters Tune        complete  0.48748      0.48748       
submission_new_hpo.csv         2021-12-08 09:14:10  new features with hyperparameters Tune        complete  0.51858      0.51858       
submission_new_hpo_ensV4.csv   2021-12-07 15:02:09  new features with hyperparameters Vקרדןםמ 4   complete  0.48961      0.48961       
submission_new_hpo.csv         2021-12-07 14:29:38  new features with hyperparameters Tune        complete  0.48338      0.48338       
submission_new_featuresV3.csv  2021-12-07 14:00:06  new featuresV3                                complete  0.45074      0.45074       
submission_new_featuresV2.csv  2021-12-07 13:39:45  new features                                  complete  0.50306      0.50306       
submission_new_features.csv    2021-12-07 13:09:48  new features                                  complete  0.51097      0.51097       
submission.csv                 2021-12-07 13:04:23  first raw submission                          complete  1.39309      1.39309       
submission_new_hpo.csv         2021-12-07 11:12:13  new features with hyperparameters Tune        complete  0.45509      0.45509       
submission_new_featuresV3.csv  2021-12-07 10:53:43  new featuresV3                                complete  0.45057      0.45057       
submission_new_featuresV2.csv  2021-12-07 10:43:05  new features                                  complete  0.47595      0.47595       
submission_new_featuresV2.csv  2021-12-07 10:42:32  new features                                  error     None         None          
submission_new_features.csv    2021-12-07 10:32:26  new features                                  complete  0.50670      0.50670       
submission.csv                 2021-12-07 10:24:27  first raw submission                          complete  1.38989      1.38989       
submission_new_hpo.csv         2021-12-07 09:08:34  new features with hyperparameters             complete  0.46172      0.46172       
submission_new_hpo.csv         2021-12-07 08:59:07  new features with hyperparameters             complete  0.45760      0.45760       
submission_new_features.csv    2021-12-06 20:57:01  new features                                  complete  0.44755      0.44755       
submission_new_features.csv    2021-12-06 20:50:18  new features                                  complete  0.44577      0.44577       
submission_new_features.csv    2021-12-06 20:45:43  new features                                  complete  0.44592      0.44592       
submission_RMSLE.csv           2021-12-06 17:57:57  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv           2021-12-06 17:46:31  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv           2021-12-06 17:25:04  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv           2021-12-06 17:13:44  Custome Eval Metric                           complete  0.46093      0.46093       
submission_new_hpo_ens.csv     2021-12-06 15:59:53  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv     2021-12-06 15:55:19  new features with hyperparameters             complete  0.47243      0.47243       
submission_new_hpo_ens.csv     2021-12-06 15:14:56  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv     2021-12-06 15:11:35  new features with hyperparameters             complete  0.47219      0.47219       
submission_new_hpo_ens.csv     2021-12-06 15:03:25  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv         2021-12-06 15:02:29  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv         2021-12-06 13:32:40  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv         2021-12-06 12:22:42  new features with hyperparameters             complete  0.45943      0.45943       
submission_new_hpo.csv         2021-12-06 12:19:40  new features with hyperparameters             complete  0.45999      0.45999       
submission_new_hpo.csv         2021-12-06 11:38:43  new features with hyperparameters             complete  0.49236      0.49236       
submission_new_hpo.csv         2021-12-06 11:23:09  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv         2021-12-06 11:18:36  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv         2021-12-06 11:13:58  new features with hyperparameters             complete  0.46954      0.46954       
submission_new_features.csv    2021-12-06 10:58:08  new features                                  complete  0.44585      0.44585       
submission_new_hpo.csv         2021-12-06 10:54:45  new features with hyperparameters             complete  0.48625      0.48625       
submission_new_hpo.csv         2021-12-06 10:39:14  new features with hyperparameters             complete  0.49986      0.49986       
submission_new_hpo.csv         2021-12-06 10:35:11  new features with hyperparameters             complete  0.45109      0.45109       
submission_new_features.csv    2021-12-06 09:55:51  new features                                  complete  0.44583      0.44583       
submission_new_features.csv    2021-12-04 11:36:34  new features                                  complete  0.47874      0.47874       
submission_new_features.csv    2021-12-04 11:32:02  new features                                  complete  0.50538      0.50538       
submission_new_features.csv    2021-12-04 11:17:25  new features                                  complete  0.48208      0.48208       
submission_new_features.csv    2021-12-04 11:10:20  new features                                  error     None         None          
submission_new_features.csv    2021-12-02 10:41:10  new features                                  complete  0.48497      0.48497       
submission_new_features.csv    2021-12-02 08:13:40  new features                                  complete  0.53024      0.53024       
submission_new_features.csv    2021-12-01 11:21:00  new features                                  complete  0.52819      0.52819       
submission.csv                 2021-11-30 11:39:40  first raw submission                          complete  1.39183      1.39183       
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,

Initial score of 1.39183

Step 4: Exploratory Data Analysis and Creating an additional feature

  • Any additional feature will do, but a great suggestion would be to separate out the datetime into hour, day, or month parts.
In [187]:
import matplotlib.pyplot as plt
# Create a histogram of all features to show the distribution of each one relative to the data. This is part of the exploritory data analysis

#Select all features (Except date)
features = train.columns
features = features.drop('datetime')

fig, axs = plt.subplots(4, 3, figsize=(25, 25))
axs = axs.flatten()
ax_idx = 0

#Iterate over the features, and plot Histogram of all features and the target
for items in features : 
    ax = train[items].plot(kind = "hist",figsize=(10, 10),color='blue',fontsize = 7,bins=25,ax=axs[ax_idx])
    ax.set_facecolor('white')
    ax.set_title(items, fontdict={'fontsize': 12, 'fontweight': 'medium'})
    ax.legend(fontsize = 12)
    ax_idx += 1
     
        
ax=axs[11]
ax.axis('off')   
plt.tight_layout()
plt.show()
In [7]:
#BoxPlot is another way to show distribution and also check for outliers 

import seaborn as sns
sns.set_style("whitegrid")

fig, axs = plt.subplots(4, 3, figsize=(15, 12))
axs = axs.flatten()
ax_idx = 0


for items in features : 
    boxplot = sns.boxplot(y = items ,data = train ,ax = axs[ax_idx])
    boxplot.set_ylabel(items, fontsize=14)
    ax_idx +=1 
    
ax=axs[11]
ax.axis('off')   
Out[7]:
(0.0, 1.0, 0.0, 1.0)
In [8]:
#display Time series data of the count (demand ) 
# Check each Month and look for patterns 
from itertools import cycle

#Create  a date column
train ['date'] = pd.to_datetime(train['datetime'], errors='coerce')
color_cycle = cycle(plt.rcParams['axes.prop_cycle'].by_key()['color'])
Months = pd.date_range(start = '2011-01', end = '2012-12').to_period('M').unique()


fig, axs = plt.subplots(12, 2, figsize=(10, 25))
axs = axs.flatten()
ax_idx = 0
for item in Months:
        
        #Slice The Data for only January 2011
        mask = (train ['date'].dt.to_period('M') == pd.to_datetime(item.strftime('%Y-%m')).to_period('M')) 
        
        
        #Visualize the demand for January 2011
        demnad_data = train.loc[mask]
        demnad_data = pd.DataFrame(demnad_data[['count','date']])
        demnad_data.index = demnad_data['date']
        
        ax = demnad_data['count'].plot(figsize=(25, 38),color=next(color_cycle),fontsize = 18,ax=axs[ax_idx])
        ax.set_facecolor('white')
        ax.set_xlabel("Date",size=25)
        ax.set_ylabel("Bike Demand",size=25)
        ax.set_title('Bike Demand '+item.strftime('%Y-%m'), fontdict={'fontsize': 30, 'fontweight': 'medium'})
        
        
        ax_idx += 1
plt.tight_layout()
plt.show()
In [9]:
#Visualize the Hourly distribution of the demand (Boxplot)
train['hour'] = train['date'].dt.hour
plt.figure(figsize=(15,12))
boxplot = sns.boxplot(y = 'count', x = 'hour'  ,data = train )
boxplot.set_ylabel("Bike Demand", fontsize=14)
Out[9]:
Text(0, 0.5, 'Bike Demand')
In [10]:
# create a new feature - First round 
train ['date'] = pd.to_datetime(train['datetime'], errors='coerce')
test ['date'] = pd.to_datetime(test['datetime'], errors='coerce')
train['hour'] = train['date'].dt.hour
test['hour'] = test['date'].dt.hour
train['weekday'] = train['date'].dt.weekday
test['weekday'] = test['date'].dt.weekday
train['day'] = train['date'].dt.day
test['day'] = test['date'].dt.day
train['month'] = train['date'].dt.month
test['month'] = test['date'].dt.month
train.head()
Out[10]:
datetime season holiday workingday weather temp atemp humidity windspeed casual registered count date hour weekday day month
0 2011-01-01 00:00:00 1 0 0 1 9.84 14.395 81 0.0 3 13 16 2011-01-01 00:00:00 0 5 1 1
1 2011-01-01 01:00:00 1 0 0 1 9.02 13.635 80 0.0 8 32 40 2011-01-01 01:00:00 1 5 1 1
2 2011-01-01 02:00:00 1 0 0 1 9.02 13.635 80 0.0 5 27 32 2011-01-01 02:00:00 2 5 1 1
3 2011-01-01 03:00:00 1 0 0 1 9.84 14.395 75 0.0 3 10 13 2011-01-01 03:00:00 3 5 1 1
4 2011-01-01 04:00:00 1 0 0 1 9.84 14.395 75 0.0 0 1 1 2011-01-01 04:00:00 4 5 1 1

Make category types for these so models know they are not just numbers

  • AutoGluon originally sees these as ints, but in reality they are int representations of a category.
  • Setting the dtype to category will classify these as categories in AutoGluon.
In [11]:
categorical_features = ["hour","day","month","season","weather","holiday","workingday","weekday"]
for items in categorical_features:
    train[items] = train[items].astype("category")
    test[items] = test[items].astype("category")
    
In [12]:
# View the  new feature
train.head()
Out[12]:
datetime season holiday workingday weather temp atemp humidity windspeed casual registered count date hour weekday day month
0 2011-01-01 00:00:00 1 0 0 1 9.84 14.395 81 0.0 3 13 16 2011-01-01 00:00:00 0 5 1 1
1 2011-01-01 01:00:00 1 0 0 1 9.02 13.635 80 0.0 8 32 40 2011-01-01 01:00:00 1 5 1 1
2 2011-01-01 02:00:00 1 0 0 1 9.02 13.635 80 0.0 5 27 32 2011-01-01 02:00:00 2 5 1 1
3 2011-01-01 03:00:00 1 0 0 1 9.84 14.395 75 0.0 3 10 13 2011-01-01 03:00:00 3 5 1 1
4 2011-01-01 04:00:00 1 0 0 1 9.84 14.395 75 0.0 0 1 1 2011-01-01 04:00:00 4 5 1 1
In [13]:
# View histogram of all features again now with the hour feature
# Create a histogram of all features to show the distribution of each one relative to the data. This is part of the exploritory data analysis

#Select all features (Except date)
features = train.columns
features = features.drop(['datetime','date'])


fig, axs = plt.subplots(5, 3, figsize=(25, 25))
axs = axs.flatten()
ax_idx = 0

#Iterate over the features, and plot Histogram of all features and the target
for items in features : 
     
    ax = train[items].astype('int').plot(kind = "hist",figsize=(15, 10),color='blue',fontsize = 7,bins=25,ax=axs[ax_idx])
    ax.set_facecolor('white')
    ax.set_title(items, fontdict={'fontsize': 15, 'fontweight': 'medium'})
    ax.legend(fontsize = 15)
    ax_idx += 1
     
        
 
plt.tight_layout()
plt.show()

Step 5: Rerun the model with the same settings as before, just with more features

In [15]:
df = train.drop(columns=['casual', 'registered'])



predictor_new_features = TabularPredictor(label="count",eval_metric='root_mean_squared_error').fit(
    train_data=df,
    time_limit=60,
    presets="best_quality"
)
No path specified. Models will be saved in: "AutogluonModels/ag-20211210_084101\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 60s
AutoGluon will save models to "AutogluonModels/ag-20211210_084101\"
AutoGluon Version:  0.3.1
Train Data Rows:    10886
Train Data Columns: 15
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == int and many unique label-values observed).
	Label info (max, min, mean, stddev): (977, 1, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    1953.09 MB
	Train Data (Original)  Memory Usage: 2.03 MB (0.1% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 2 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting CategoryFeatureGenerator...
			Fitting CategoryMemoryMinimizeFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Useless Original Features (Count: 1): ['data']
		These features carry no predictive signal and should be manually investigated.
		This is typically a feature which has the same value for all rows.
		These features do not need to be present at inference time.
	Types of features in original data (raw dtype, special dtypes):
		('category', [])                   : 8 | ['season', 'holiday', 'workingday', 'weather', 'hour', ...]
		('datetime', [])                   : 1 | ['date']
		('float', [])                      : 3 | ['temp', 'atemp', 'windspeed']
		('int', [])                        : 1 | ['humidity']
		('object', ['datetime_as_object']) : 1 | ['datetime']
	Types of features in processed data (raw dtype, special dtypes):
		('category', [])             : 6 | ['season', 'weather', 'hour', 'weekday', 'day', ...]
		('float', [])                : 3 | ['temp', 'atemp', 'windspeed']
		('int', [])                  : 1 | ['humidity']
		('int', ['bool'])            : 2 | ['holiday', 'workingday']
		('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
	0.2s = Fit runtime
	14 features in original data used to generate 14 features in processed data.
	Train Data (Processed) Memory Usage: 0.61 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.24s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
	To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 39.83s of the 59.75s of remaining time.
	-164.89	 = Validation score   (root_mean_squared_error)
	0.04s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 39.53s of the 59.46s of remaining time.
	-179.1334	 = Validation score   (root_mean_squared_error)
	0.03s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 39.26s of the 59.19s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 20.0349	valid_set's rmse: 33.0906
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 20.0109	valid_set's rmse: 37.3011
[2000]	train_set's rmse: 14.346	valid_set's rmse: 36.4372
	Ran out of time, early stopping on iteration 2628. Best iteration is:
	[2622]	train_set's rmse: 12.0628	valid_set's rmse: 36.2657
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 19.9945	valid_set's rmse: 30.9504
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 19.8095	valid_set's rmse: 36.08
[2000]	train_set's rmse: 14.2079	valid_set's rmse: 35.7043
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 19.9756	valid_set's rmse: 35.7323
[2000]	train_set's rmse: 14.2133	valid_set's rmse: 35.0161
	Ran out of time, early stopping on iteration 3105. Best iteration is:
	[3104]	train_set's rmse: 10.5517	valid_set's rmse: 34.7049
[3000]	train_set's rmse: 10.8298	valid_set's rmse: 34.7197
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 19.7593	valid_set's rmse: 37.451
[2000]	train_set's rmse: 14.2066	valid_set's rmse: 37.1562
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 20.0367	valid_set's rmse: 33.9869
[2000]	train_set's rmse: 14.292	valid_set's rmse: 33.5375
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 20.0505	valid_set's rmse: 37.3398
[2000]	train_set's rmse: 14.4084	valid_set's rmse: 36.7304
[3000]	train_set's rmse: 11.0132	valid_set's rmse: 36.5665
[4000]	train_set's rmse: 8.66953	valid_set's rmse: 36.4833
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-34.5022	 = Validation score   (root_mean_squared_error)
	25.54s	 = Training   runtime
	1.16s	 = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 10.82s of the 30.75s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 479. Best iteration is:
	[478]	train_set's rmse: 21.1341	valid_set's rmse: 33.7527
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 497. Best iteration is:
	[497]	train_set's rmse: 21.0365	valid_set's rmse: 38.6895
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 520. Best iteration is:
	[515]	train_set's rmse: 20.6875	valid_set's rmse: 32.1576
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 566. Best iteration is:
	[566]	train_set's rmse: 19.4182	valid_set's rmse: 37.5184
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 601. Best iteration is:
	[581]	train_set's rmse: 19.3482	valid_set's rmse: 36.4042
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 899. Best iteration is:
	[860]	train_set's rmse: 15.8173	valid_set's rmse: 39.0828
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 825. Best iteration is:
	[787]	train_set's rmse: 16.608	valid_set's rmse: 33.1092
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 503. Best iteration is:
	[496]	train_set's rmse: 21.0566	valid_set's rmse: 34.0305
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 776. Best iteration is:
	[724]	train_set's rmse: 17.5407	valid_set's rmse: 38.7175
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 921. Best iteration is:
	[921]	train_set's rmse: 15.4539	valid_set's rmse: 33.711
	-35.8058	 = Validation score   (root_mean_squared_error)
	9.85s	 = Training   runtime
	0.35s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 59.76s of the 19.83s of remaining time.
	-34.136	 = Validation score   (root_mean_squared_error)
	0.29s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 19.53s of the 19.52s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-35.6942	 = Validation score   (root_mean_squared_error)
	6.23s	 = Training   runtime
	0.2s	 = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 12.92s of the 12.91s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-34.9278	 = Validation score   (root_mean_squared_error)
	4.6s	 = Training   runtime
	0.14s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 8.07s of the 8.06s of remaining time.
	-35.4279	 = Validation score   (root_mean_squared_error)
	8.34s	 = Training   runtime
	0.48s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 59.76s of the -2.24s of remaining time.
	-34.67	 = Validation score   (root_mean_squared_error)
	0.22s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 62.48s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211210_084101\")
In [26]:
predictor_new_features.leaderboard(df, silent=True)
Out[26]:
model score_test score_val pred_time_test pred_time_val fit_time pred_time_test_marginal pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 LightGBM_BAG_L2 -13.931066 -34.063639 14.252502 2.407869 36.289093 0.602653 0.148915 4.341497 2 True 8
1 WeightedEnsemble_L3 -13.955036 -33.816883 16.325964 3.124473 51.073545 0.008994 0.000999 0.223871 3 True 10
2 ExtraTreesMSE_BAG_L1 -13.963567 -37.907656 0.606763 0.410764 1.959871 0.606763 0.410764 1.959871 1 True 5
3 RandomForestMSE_BAG_L1 -14.159395 -38.415614 0.677047 0.383782 4.031678 0.677047 0.383782 4.031678 1 True 4
4 WeightedEnsemble_L2 -14.780175 -33.598879 13.402286 2.032838 32.200451 0.008996 0.000000 0.318815 2 True 6
5 LightGBMXT_BAG_L2 -14.891751 -35.081237 14.948757 2.485825 38.539795 1.298908 0.226870 6.592200 2 True 7
6 RandomForestMSE_BAG_L2 -15.514304 -34.479085 14.415409 2.747689 39.915977 0.765560 0.488734 7.968381 2 True 9
7 LightGBMXT_BAG_L1 -16.404830 -34.479591 12.109479 1.238292 25.890086 12.109479 1.238292 25.890086 1 True 3
8 KNeighborsDist_BAG_L1 -107.626155 -179.133407 0.130545 0.112663 0.032980 0.130545 0.112663 0.032980 1 True 2
9 KNeighborsUnif_BAG_L1 -136.323106 -164.889972 0.126014 0.113454 0.032980 0.126014 0.113454 0.032980 1 True 1
In [28]:
predictor_new_features.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
                    model   score_val  pred_time_val   fit_time  pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  fit_order
0     WeightedEnsemble_L2  -33.593303       2.129800  33.573897                0.000000           0.338801            2       True          6
1     WeightedEnsemble_L3  -33.749492       3.340071  54.996199                0.000999           0.243859            3       True         10
2         LightGBM_BAG_L2  -33.994852       2.489593  37.692526                0.132922           4.387472            2       True          8
3       LightGBMXT_BAG_L1  -34.475003       1.423190  26.853534                1.423190          26.853534            1       True          3
4  RandomForestMSE_BAG_L2  -34.500057       2.986277  42.472419                0.629606           9.167365            2       True          9
5       LightGBMXT_BAG_L2  -34.905302       2.576544  41.197504                0.219873           7.892449            2       True          7
6    ExtraTreesMSE_BAG_L1  -37.907656       0.336821   1.946200                0.336821           1.946200            1       True          5
7  RandomForestMSE_BAG_L1  -38.415614       0.369789   4.435361                0.369789           4.435361            1       True          4
8   KNeighborsUnif_BAG_L1 -164.889972       0.113935   0.037978                0.113935           0.037978            1       True          1
9   KNeighborsDist_BAG_L1 -179.133407       0.112936   0.031981                0.112936           0.031981            1       True          2
Number of models trained: 10
Types of models trained:
{'StackerEnsembleModel_RF', 'StackerEnsembleModel_LGB', 'WeightedEnsembleModel', 'StackerEnsembleModel_KNN', 'StackerEnsembleModel_XT'}
Bagging used: True  (with 10 folds)
Multi-layer stack-ensembling used: True  (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('category', [])             : 6 | ['season', 'weather', 'hour', 'weekday', 'day', ...]
('float', [])                : 3 | ['temp', 'atemp', 'windspeed']
('int', [])                  : 1 | ['humidity']
('int', ['bool'])            : 2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
Plot summary of models saved to file: AutogluonModels/ag-20211207_102600\SummaryOfModels.html
*** End of fit() summary ***
Out[28]:
{'model_types': {'KNeighborsUnif_BAG_L1': 'StackerEnsembleModel_KNN',
  'KNeighborsDist_BAG_L1': 'StackerEnsembleModel_KNN',
  'LightGBMXT_BAG_L1': 'StackerEnsembleModel_LGB',
  'RandomForestMSE_BAG_L1': 'StackerEnsembleModel_RF',
  'ExtraTreesMSE_BAG_L1': 'StackerEnsembleModel_XT',
  'WeightedEnsemble_L2': 'WeightedEnsembleModel',
  'LightGBMXT_BAG_L2': 'StackerEnsembleModel_LGB',
  'LightGBM_BAG_L2': 'StackerEnsembleModel_LGB',
  'RandomForestMSE_BAG_L2': 'StackerEnsembleModel_RF',
  'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
 'model_performance': {'KNeighborsUnif_BAG_L1': -164.8899720329543,
  'KNeighborsDist_BAG_L1': -179.13340722310159,
  'LightGBMXT_BAG_L1': -34.475002742310096,
  'RandomForestMSE_BAG_L1': -38.41561355866655,
  'ExtraTreesMSE_BAG_L1': -37.90765646612652,
  'WeightedEnsemble_L2': -33.59330256328244,
  'LightGBMXT_BAG_L2': -34.90530180594752,
  'LightGBM_BAG_L2': -33.99485199077562,
  'RandomForestMSE_BAG_L2': -34.50005694220576,
  'WeightedEnsemble_L3': -33.74949163388618},
 'model_best': 'WeightedEnsemble_L2',
 'model_paths': {'KNeighborsUnif_BAG_L1': 'AutogluonModels/ag-20211207_102600\\models\\KNeighborsUnif_BAG_L1\\',
  'KNeighborsDist_BAG_L1': 'AutogluonModels/ag-20211207_102600\\models\\KNeighborsDist_BAG_L1\\',
  'LightGBMXT_BAG_L1': 'AutogluonModels/ag-20211207_102600\\models\\LightGBMXT_BAG_L1\\',
  'RandomForestMSE_BAG_L1': 'AutogluonModels/ag-20211207_102600\\models\\RandomForestMSE_BAG_L1\\',
  'ExtraTreesMSE_BAG_L1': 'AutogluonModels/ag-20211207_102600\\models\\ExtraTreesMSE_BAG_L1\\',
  'WeightedEnsemble_L2': 'AutogluonModels/ag-20211207_102600\\models\\WeightedEnsemble_L2\\',
  'LightGBMXT_BAG_L2': 'AutogluonModels/ag-20211207_102600\\models\\LightGBMXT_BAG_L2\\',
  'LightGBM_BAG_L2': 'AutogluonModels/ag-20211207_102600\\models\\LightGBM_BAG_L2\\',
  'RandomForestMSE_BAG_L2': 'AutogluonModels/ag-20211207_102600\\models\\RandomForestMSE_BAG_L2\\',
  'WeightedEnsemble_L3': 'AutogluonModels/ag-20211207_102600\\models\\WeightedEnsemble_L3\\'},
 'model_fit_times': {'KNeighborsUnif_BAG_L1': 0.037978172302246094,
  'KNeighborsDist_BAG_L1': 0.03198051452636719,
  'LightGBMXT_BAG_L1': 26.85353446006775,
  'RandomForestMSE_BAG_L1': 4.435361385345459,
  'ExtraTreesMSE_BAG_L1': 1.9462001323699951,
  'WeightedEnsemble_L2': 0.33880090713500977,
  'LightGBMXT_BAG_L2': 7.892449140548706,
  'LightGBM_BAG_L2': 4.387471675872803,
  'RandomForestMSE_BAG_L2': 9.167364597320557,
  'WeightedEnsemble_L3': 0.24385905265808105},
 'model_pred_times': {'KNeighborsUnif_BAG_L1': 0.11393499374389648,
  'KNeighborsDist_BAG_L1': 0.11293578147888184,
  'LightGBMXT_BAG_L1': 1.423189640045166,
  'RandomForestMSE_BAG_L1': 0.36978888511657715,
  'ExtraTreesMSE_BAG_L1': 0.3368213176727295,
  'WeightedEnsemble_L2': 0.0,
  'LightGBMXT_BAG_L2': 0.21987295150756836,
  'LightGBM_BAG_L2': 0.13292193412780762,
  'RandomForestMSE_BAG_L2': 0.6296062469482422,
  'WeightedEnsemble_L3': 0.00099945068359375},
 'num_bag_folds': 10,
 'max_stack_level': 3,
 'model_hyperparams': {'KNeighborsUnif_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'KNeighborsDist_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'LightGBMXT_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'RandomForestMSE_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'ExtraTreesMSE_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'WeightedEnsemble_L2': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBMXT_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBM_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'RandomForestMSE_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'WeightedEnsemble_L3': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True}},
 'leaderboard':                     model   score_val  pred_time_val   fit_time  \
 0     WeightedEnsemble_L2  -33.593303       2.129800  33.573897   
 1     WeightedEnsemble_L3  -33.749492       3.340071  54.996199   
 2         LightGBM_BAG_L2  -33.994852       2.489593  37.692526   
 3       LightGBMXT_BAG_L1  -34.475003       1.423190  26.853534   
 4  RandomForestMSE_BAG_L2  -34.500057       2.986277  42.472419   
 5       LightGBMXT_BAG_L2  -34.905302       2.576544  41.197504   
 6    ExtraTreesMSE_BAG_L1  -37.907656       0.336821   1.946200   
 7  RandomForestMSE_BAG_L1  -38.415614       0.369789   4.435361   
 8   KNeighborsUnif_BAG_L1 -164.889972       0.113935   0.037978   
 9   KNeighborsDist_BAG_L1 -179.133407       0.112936   0.031981   
 
    pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  \
 0                0.000000           0.338801            2       True   
 1                0.000999           0.243859            3       True   
 2                0.132922           4.387472            2       True   
 3                1.423190          26.853534            1       True   
 4                0.629606           9.167365            2       True   
 5                0.219873           7.892449            2       True   
 6                0.336821           1.946200            1       True   
 7                0.369789           4.435361            1       True   
 8                0.113935           0.037978            1       True   
 9                0.112936           0.031981            1       True   
 
    fit_order  
 0          6  
 1         10  
 2          8  
 3          3  
 4          9  
 5          7  
 6          5  
 7          4  
 8          1  
 9          2  }
In [29]:
predictor_new_features.feature_importance(data=df)
Computing feature importance via permutation shuffling for 14 features using 1000 rows with 3 shuffle sets...
	114.66s	= Expected runtime (38.22s per shuffle set)
	59.56s	= Actual runtime (Completed 3 of 3 shuffle sets)
Out[29]:
importance stddev p_value n p99_high p99_low
hour 197.170591 3.534212 0.000054 3 217.422016 176.919166
workingday 67.957786 2.856578 0.000294 3 84.326298 51.589275
date 34.485488 2.689452 0.001011 3 49.896344 19.074632
datetime 33.603976 2.187511 0.000705 3 46.138653 21.069298
weekday 22.583808 0.668894 0.000146 3 26.416645 18.750971
humidity 22.122182 0.923877 0.000290 3 27.416100 16.828264
temp 17.940420 0.912210 0.000430 3 23.167483 12.713358
atemp 16.174898 1.225393 0.000954 3 23.196534 9.153262
weather 15.634848 1.741819 0.002056 3 25.615663 5.654032
month 10.988939 0.464586 0.000298 3 13.651070 8.326809
day 10.826542 0.547731 0.000426 3 13.965101 7.687983
season 2.900745 0.341267 0.002291 3 4.856245 0.945246
windspeed 2.874331 0.242800 0.001185 3 4.265599 1.483063
holiday 1.269797 0.357387 0.012702 3 3.317662 -0.778068
In [16]:
# Remember to set all negative values to zero
predictions_nf = predictor_new_features.predict(test)
predictions_nf[predictions_nf<0] = 0
In [30]:
# Same submitting predictions
submission_new_features = pd.read_csv('sampleSubmission.csv')
submission_new_features["count"] = predictions_nf
submission_new_features.to_csv("submission_new_features.csv", index=False)
In [31]:
!kaggle competitions submit -c bike-sharing-demand -f submission_new_features.csv -m "NF - Model 1  (Basic  Time Catogricla data )"
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,

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In [32]:
!kaggle competitions submissions -c bike-sharing-demand  
fileName                       date                 description                                   status    publicScore  privateScore  
-----------------------------  -------------------  --------------------------------------------  --------  -----------  ------------  
submission_new_features.csv    2021-12-08 11:24:55  NF - Model 1  (Basic  Time Catogricla data )  complete  0.50674      0.50674       
submission.csv                 2021-12-08 11:13:27  first raw submission                          complete  1.38952      1.38952       
submission_new_hpo.csv         2021-12-08 11:06:33  new features with hyperparameters Tune        complete  0.48748      0.48748       
submission_new_hpo.csv         2021-12-08 09:14:10  new features with hyperparameters Tune        complete  0.51858      0.51858       
submission_new_hpo_ensV4.csv   2021-12-07 15:02:09  new features with hyperparameters Vקרדןםמ 4   complete  0.48961      0.48961       
submission_new_hpo.csv         2021-12-07 14:29:38  new features with hyperparameters Tune        complete  0.48338      0.48338       
submission_new_featuresV3.csv  2021-12-07 14:00:06  new featuresV3                                complete  0.45074      0.45074       
submission_new_featuresV2.csv  2021-12-07 13:39:45  new features                                  complete  0.50306      0.50306       
submission_new_features.csv    2021-12-07 13:09:48  new features                                  complete  0.51097      0.51097       
submission.csv                 2021-12-07 13:04:23  first raw submission                          complete  1.39309      1.39309       
submission_new_hpo.csv         2021-12-07 11:12:13  new features with hyperparameters Tune        complete  0.45509      0.45509       
submission_new_featuresV3.csv  2021-12-07 10:53:43  new featuresV3                                complete  0.45057      0.45057       
submission_new_featuresV2.csv  2021-12-07 10:43:05  new features                                  complete  0.47595      0.47595       
submission_new_featuresV2.csv  2021-12-07 10:42:32  new features                                  error     None         None          
submission_new_features.csv    2021-12-07 10:32:26  new features                                  complete  0.50670      0.50670       
submission.csv                 2021-12-07 10:24:27  first raw submission                          complete  1.38989      1.38989       
submission_new_hpo.csv         2021-12-07 09:08:34  new features with hyperparameters             complete  0.46172      0.46172       
submission_new_hpo.csv         2021-12-07 08:59:07  new features with hyperparameters             complete  0.45760      0.45760       
submission_new_features.csv    2021-12-06 20:57:01  new features                                  complete  0.44755      0.44755       
submission_new_features.csv    2021-12-06 20:50:18  new features                                  complete  0.44577      0.44577       
submission_new_features.csv    2021-12-06 20:45:43  new features                                  complete  0.44592      0.44592       
submission_RMSLE.csv           2021-12-06 17:57:57  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv           2021-12-06 17:46:31  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv           2021-12-06 17:25:04  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv           2021-12-06 17:13:44  Custome Eval Metric                           complete  0.46093      0.46093       
submission_new_hpo_ens.csv     2021-12-06 15:59:53  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv     2021-12-06 15:55:19  new features with hyperparameters             complete  0.47243      0.47243       
submission_new_hpo_ens.csv     2021-12-06 15:14:56  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv     2021-12-06 15:11:35  new features with hyperparameters             complete  0.47219      0.47219       
submission_new_hpo_ens.csv     2021-12-06 15:03:25  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv         2021-12-06 15:02:29  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv         2021-12-06 13:32:40  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv         2021-12-06 12:22:42  new features with hyperparameters             complete  0.45943      0.45943       
submission_new_hpo.csv         2021-12-06 12:19:40  new features with hyperparameters             complete  0.45999      0.45999       
submission_new_hpo.csv         2021-12-06 11:38:43  new features with hyperparameters             complete  0.49236      0.49236       
submission_new_hpo.csv         2021-12-06 11:23:09  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv         2021-12-06 11:18:36  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv         2021-12-06 11:13:58  new features with hyperparameters             complete  0.46954      0.46954       
submission_new_features.csv    2021-12-06 10:58:08  new features                                  complete  0.44585      0.44585       
submission_new_hpo.csv         2021-12-06 10:54:45  new features with hyperparameters             complete  0.48625      0.48625       
submission_new_hpo.csv         2021-12-06 10:39:14  new features with hyperparameters             complete  0.49986      0.49986       
submission_new_hpo.csv         2021-12-06 10:35:11  new features with hyperparameters             complete  0.45109      0.45109       
submission_new_features.csv    2021-12-06 09:55:51  new features                                  complete  0.44583      0.44583       
submission_new_features.csv    2021-12-04 11:36:34  new features                                  complete  0.47874      0.47874       
submission_new_features.csv    2021-12-04 11:32:02  new features                                  complete  0.50538      0.50538       
submission_new_features.csv    2021-12-04 11:17:25  new features                                  complete  0.48208      0.48208       
submission_new_features.csv    2021-12-04 11:10:20  new features                                  error     None         None          
submission_new_features.csv    2021-12-02 10:41:10  new features                                  complete  0.48497      0.48497       
submission_new_features.csv    2021-12-02 08:13:40  new features                                  complete  0.53024      0.53024       
submission_new_features.csv    2021-12-01 11:21:00  new features                                  complete  0.52819      0.52819       
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,
In [65]:
#WindSpeed and Humidity  do not looks like normal distrbution 
# Try Log transfomiation 
import numpy as np
 

df['humidity']  = np.where(train['humidity'] !=0,np.log(train['humidity']),0)
df['windspeed']  = np.where(train['windspeed'] !=0,np.log(train['windspeed']),0)
test_log = test.copy(deep = True)
test_log['humidity']  = np.where(test['humidity'] !=0,np.log(test['humidity']),0)
test_log['windspeed']  = np.where(test['windspeed'] !=0,np.log(test['windspeed']),0)

predictor_new_features_log = TabularPredictor(label="count",eval_metric='root_mean_squared_error').fit(
    train_data=df,
    time_limit=60,
    presets="best_quality"
)
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\pandas\core\series.py:726: RuntimeWarning: divide by zero encountered in log
  result = getattr(ufunc, method)(*inputs, **kwargs)
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\pandas\core\series.py:726: RuntimeWarning: divide by zero encountered in log
  result = getattr(ufunc, method)(*inputs, **kwargs)
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\pandas\core\series.py:726: RuntimeWarning: divide by zero encountered in log
  result = getattr(ufunc, method)(*inputs, **kwargs)
No path specified. Models will be saved in: "AutogluonModels/ag-20211208_120254\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 60s
AutoGluon will save models to "AutogluonModels/ag-20211208_120254\"
AutoGluon Version:  0.3.1
Train Data Rows:    10886
Train Data Columns: 14
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == int and many unique label-values observed).
	Label info (max, min, mean, stddev): (977, 1, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    4142.16 MB
	Train Data (Original)  Memory Usage: 1.35 MB (0.0% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 2 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting CategoryFeatureGenerator...
			Fitting CategoryMemoryMinimizeFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Types of features in original data (raw dtype, special dtypes):
		('category', [])                   : 8 | ['season', 'holiday', 'workingday', 'weather', 'hour', ...]
		('datetime', [])                   : 1 | ['date']
		('float', [])                      : 4 | ['temp', 'atemp', 'humidity', 'windspeed']
		('object', ['datetime_as_object']) : 1 | ['datetime']
	Types of features in processed data (raw dtype, special dtypes):
		('category', [])             : 6 | ['season', 'weather', 'hour', 'weekday', 'day', ...]
		('float', [])                : 4 | ['temp', 'atemp', 'humidity', 'windspeed']
		('int', ['bool'])            : 2 | ['holiday', 'workingday']
		('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
	0.2s = Fit runtime
	14 features in original data used to generate 14 features in processed data.
	Train Data (Processed) Memory Usage: 0.61 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.19s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
	To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 39.86s of the 59.8s of remaining time.
	-165.4016	 = Validation score   (root_mean_squared_error)
	0.03s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 39.58s of the 59.52s of remaining time.
	-179.7883	 = Validation score   (root_mean_squared_error)
	0.03s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 39.31s of the 59.25s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 20.0349	valid_set's rmse: 33.0906
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 20.0109	valid_set's rmse: 37.3011
[2000]	train_set's rmse: 14.346	valid_set's rmse: 36.4372
[3000]	train_set's rmse: 10.9277	valid_set's rmse: 36.1671
	Ran out of time, early stopping on iteration 3516. Best iteration is:
	[3413]	train_set's rmse: 9.87616	valid_set's rmse: 36.1206
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 19.9945	valid_set's rmse: 30.9504
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 19.8095	valid_set's rmse: 36.0766
[2000]	train_set's rmse: 14.2079	valid_set's rmse: 35.7016
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 19.9756	valid_set's rmse: 35.7323
[2000]	train_set's rmse: 14.2133	valid_set's rmse: 35.0161
[3000]	train_set's rmse: 10.8298	valid_set's rmse: 34.7197
	Ran out of time, early stopping on iteration 3852. Best iteration is:
	[3845]	train_set's rmse: 8.84069	valid_set's rmse: 34.6166
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 19.7593	valid_set's rmse: 37.451
[2000]	train_set's rmse: 14.2066	valid_set's rmse: 37.1562
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 20.0367	valid_set's rmse: 33.9869
[2000]	train_set's rmse: 14.292	valid_set's rmse: 33.5375
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 20.0505	valid_set's rmse: 37.3398
[2000]	train_set's rmse: 14.4084	valid_set's rmse: 36.7304
[3000]	train_set's rmse: 11.0132	valid_set's rmse: 36.5665
[4000]	train_set's rmse: 8.66953	valid_set's rmse: 36.4833
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-34.4777	 = Validation score   (root_mean_squared_error)
	27.02s	 = Training   runtime
	2.23s	 = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 7.11s of the 27.05s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 412. Best iteration is:
	[412]	train_set's rmse: 22.4457	valid_set's rmse: 33.9126
	Time limit exceeded... Skipping LightGBM_BAG_L1.
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 6.36s of the 26.3s of remaining time.
	-38.3971	 = Validation score   (root_mean_squared_error)
	4.49s	 = Training   runtime
	0.38s	 = Validation runtime
Fitting model: CatBoost_BAG_L1 ... Training model for up to 0.07s of the 20.01s of remaining time.
	Time limit exceeded... Skipping CatBoost_BAG_L1.
Fitting model: ExtraTreesMSE_BAG_L1 ... Training model for up to 0.02s of the 19.96s of remaining time.
	-38.1934	 = Validation score   (root_mean_squared_error)
	1.99s	 = Training   runtime
	0.38s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 59.81s of the 16.15s of remaining time.
	-33.6152	 = Validation score   (root_mean_squared_error)
	0.35s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 15.78s of the 15.77s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-34.949	 = Validation score   (root_mean_squared_error)
	7.75s	 = Training   runtime
	0.31s	 = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 7.23s of the 7.22s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-33.9824	 = Validation score   (root_mean_squared_error)
	4.97s	 = Training   runtime
	0.15s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 2.0s of the 1.99s of remaining time.
	-34.6153	 = Validation score   (root_mean_squared_error)
	7.62s	 = Training   runtime
	0.54s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 59.81s of the -7.57s of remaining time.
	-33.7828	 = Validation score   (root_mean_squared_error)
	0.23s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 67.83s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211208_120254\")
In [66]:
#check the dist after the transformation   
df.hist("humidity")
df.hist("windspeed")
Out[66]:
array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000002083ACF5518>]],
      dtype=object)
In [67]:
predictor_new_features_log.leaderboard(df, silent=True)
Out[67]:
model score_test score_val pred_time_test pred_time_val fit_time pred_time_test_marginal pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 WeightedEnsemble_L3 -13.886557 -33.782797 25.962895 4.207922 54.143911 0.007994 0.001000 0.234878 3 True 10
1 LightGBM_BAG_L2 -14.055400 -33.982358 23.336702 3.356391 38.533814 0.552681 0.146912 4.965160 2 True 8
2 ExtraTreesMSE_BAG_L1 -14.068774 -38.193369 0.622889 0.375784 1.992852 0.622889 0.375784 1.992852 1 True 5
3 RandomForestMSE_BAG_L1 -14.150597 -38.397120 0.547840 0.378769 4.485416 0.547840 0.378769 4.485416 1 True 4
4 LightGBMXT_BAG_L2 -14.526568 -34.948988 24.865172 3.519319 41.320181 2.081151 0.309839 7.751527 2 True 7
5 WeightedEnsemble_L2 -14.772862 -33.615160 22.535855 2.983355 33.852499 0.007997 0.001000 0.349798 2 True 6
6 RandomForestMSE_BAG_L2 -15.663307 -34.615328 23.321068 3.750170 41.192347 0.537048 0.540691 7.623692 2 True 9
7 LightGBMXT_BAG_L1 -16.337520 -34.477709 21.357129 2.227803 27.024433 21.357129 2.227803 27.024433 1 True 3
8 KNeighborsDist_BAG_L1 -107.886008 -179.788349 0.131027 0.113635 0.032972 0.131027 0.113635 0.032972 1 True 2
9 KNeighborsUnif_BAG_L1 -137.078940 -165.401563 0.125135 0.113488 0.032981 0.125135 0.113488 0.032981 1 True 1
In [70]:
# Remember to set all negative values to zero
predictions_log = predictor_new_features_log.predict(test_log)
predictions_log[predictions_log<0] = 0

# Same submitting predictions
submission_new_features = pd.read_csv('sampleSubmission.csv')
submission_new_features["count"] = predictions_log
submission_new_features.to_csv("submission_new_features_log.csv", index=False)
In [71]:
!kaggle competitions submit -c bike-sharing-demand -f submission_new_features_log.csv -m "NF - Model 2  (Basic  Log Transform )"
!kaggle competitions submissions -c bike-sharing-demand  
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,

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fileName                         date                 description                                   status    publicScore  privateScore  
-------------------------------  -------------------  --------------------------------------------  --------  -----------  ------------  
submission_new_features_log.csv  2021-12-08 12:07:08  NF - Model 2  (Basic  Log Transform )         complete  0.50789      0.50789       
submission_new_features_log.csv  2021-12-08 12:06:06  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features_log.csv  2021-12-08 11:34:53  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features.csv      2021-12-08 11:24:55  NF - Model 1  (Basic  Time Catogricla data )  complete  0.50674      0.50674       
submission.csv                   2021-12-08 11:13:27  first raw submission                          complete  1.38952      1.38952       
submission_new_hpo.csv           2021-12-08 11:06:33  new features with hyperparameters Tune        complete  0.48748      0.48748       
submission_new_hpo.csv           2021-12-08 09:14:10  new features with hyperparameters Tune        complete  0.51858      0.51858       
submission_new_hpo_ensV4.csv     2021-12-07 15:02:09  new features with hyperparameters Vקרדןםמ 4   complete  0.48961      0.48961       
submission_new_hpo.csv           2021-12-07 14:29:38  new features with hyperparameters Tune        complete  0.48338      0.48338       
submission_new_featuresV3.csv    2021-12-07 14:00:06  new featuresV3                                complete  0.45074      0.45074       
submission_new_featuresV2.csv    2021-12-07 13:39:45  new features                                  complete  0.50306      0.50306       
submission_new_features.csv      2021-12-07 13:09:48  new features                                  complete  0.51097      0.51097       
submission.csv                   2021-12-07 13:04:23  first raw submission                          complete  1.39309      1.39309       
submission_new_hpo.csv           2021-12-07 11:12:13  new features with hyperparameters Tune        complete  0.45509      0.45509       
submission_new_featuresV3.csv    2021-12-07 10:53:43  new featuresV3                                complete  0.45057      0.45057       
submission_new_featuresV2.csv    2021-12-07 10:43:05  new features                                  complete  0.47595      0.47595       
submission_new_featuresV2.csv    2021-12-07 10:42:32  new features                                  error     None         None          
submission_new_features.csv      2021-12-07 10:32:26  new features                                  complete  0.50670      0.50670       
submission.csv                   2021-12-07 10:24:27  first raw submission                          complete  1.38989      1.38989       
submission_new_hpo.csv           2021-12-07 09:08:34  new features with hyperparameters             complete  0.46172      0.46172       
submission_new_hpo.csv           2021-12-07 08:59:07  new features with hyperparameters             complete  0.45760      0.45760       
submission_new_features.csv      2021-12-06 20:57:01  new features                                  complete  0.44755      0.44755       
submission_new_features.csv      2021-12-06 20:50:18  new features                                  complete  0.44577      0.44577       
submission_new_features.csv      2021-12-06 20:45:43  new features                                  complete  0.44592      0.44592       
submission_RMSLE.csv             2021-12-06 17:57:57  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv             2021-12-06 17:46:31  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv             2021-12-06 17:25:04  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv             2021-12-06 17:13:44  Custome Eval Metric                           complete  0.46093      0.46093       
submission_new_hpo_ens.csv       2021-12-06 15:59:53  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv       2021-12-06 15:55:19  new features with hyperparameters             complete  0.47243      0.47243       
submission_new_hpo_ens.csv       2021-12-06 15:14:56  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv       2021-12-06 15:11:35  new features with hyperparameters             complete  0.47219      0.47219       
submission_new_hpo_ens.csv       2021-12-06 15:03:25  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv           2021-12-06 15:02:29  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv           2021-12-06 13:32:40  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv           2021-12-06 12:22:42  new features with hyperparameters             complete  0.45943      0.45943       
submission_new_hpo.csv           2021-12-06 12:19:40  new features with hyperparameters             complete  0.45999      0.45999       
submission_new_hpo.csv           2021-12-06 11:38:43  new features with hyperparameters             complete  0.49236      0.49236       
submission_new_hpo.csv           2021-12-06 11:23:09  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv           2021-12-06 11:18:36  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv           2021-12-06 11:13:58  new features with hyperparameters             complete  0.46954      0.46954       
submission_new_features.csv      2021-12-06 10:58:08  new features                                  complete  0.44585      0.44585       
submission_new_hpo.csv           2021-12-06 10:54:45  new features with hyperparameters             complete  0.48625      0.48625       
submission_new_hpo.csv           2021-12-06 10:39:14  new features with hyperparameters             complete  0.49986      0.49986       
submission_new_hpo.csv           2021-12-06 10:35:11  new features with hyperparameters             complete  0.45109      0.45109       
submission_new_features.csv      2021-12-06 09:55:51  new features                                  complete  0.44583      0.44583       
submission_new_features.csv      2021-12-04 11:36:34  new features                                  complete  0.47874      0.47874       
submission_new_features.csv      2021-12-04 11:32:02  new features                                  complete  0.50538      0.50538       
submission_new_features.csv      2021-12-04 11:17:25  new features                                  complete  0.48208      0.48208       
submission_new_features.csv      2021-12-04 11:10:20  new features                                  error     None         None          
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,

Step 5A: Rerun the model with some more advanced features

image.png

In [17]:
# Add the predictions to test (as count )
# Mark train and test rows to be able to split later on 
#Combine train and test for on data frame , to create the Demand Time series features 
train['data']= 'train'
test['data'] = 'test'
test['count'] = predictions_nf
raw =  pd.concat([train,test])
raw = raw.drop(['casual','registered'],axis=1)
In [18]:
raw.head()
Out[18]:
datetime season holiday workingday weather temp atemp humidity windspeed count date hour weekday day month data
0 2011-01-01 00:00:00 1 0 0 1 9.84 14.395 81 0.0 16.0 2011-01-01 00:00:00 0 5 1 1 train
1 2011-01-01 01:00:00 1 0 0 1 9.02 13.635 80 0.0 40.0 2011-01-01 01:00:00 1 5 1 1 train
2 2011-01-01 02:00:00 1 0 0 1 9.02 13.635 80 0.0 32.0 2011-01-01 02:00:00 2 5 1 1 train
3 2011-01-01 03:00:00 1 0 0 1 9.84 14.395 75 0.0 13.0 2011-01-01 03:00:00 3 5 1 1 train
4 2011-01-01 04:00:00 1 0 0 1 9.84 14.395 75 0.0 1.0 2011-01-01 04:00:00 4 5 1 1 train
In [19]:
#The first set of Time series features will shift features 

#raw.sort_values(by = ['hour','datetime'],inplace=True)
raw.datetime = pd.to_datetime(raw.datetime)
raw.index = raw.datetime
raw.head()
Out[19]:
datetime season holiday workingday weather temp atemp humidity windspeed count date hour weekday day month data
datetime
2011-01-01 00:00:00 2011-01-01 00:00:00 1 0 0 1 9.84 14.395 81 0.0 16.0 2011-01-01 00:00:00 0 5 1 1 train
2011-01-01 01:00:00 2011-01-01 01:00:00 1 0 0 1 9.02 13.635 80 0.0 40.0 2011-01-01 01:00:00 1 5 1 1 train
2011-01-01 02:00:00 2011-01-01 02:00:00 1 0 0 1 9.02 13.635 80 0.0 32.0 2011-01-01 02:00:00 2 5 1 1 train
2011-01-01 03:00:00 2011-01-01 03:00:00 1 0 0 1 9.84 14.395 75 0.0 13.0 2011-01-01 03:00:00 3 5 1 1 train
2011-01-01 04:00:00 2011-01-01 04:00:00 1 0 0 1 9.84 14.395 75 0.0 1.0 2011-01-01 04:00:00 4 5 1 1 train
In [20]:
#Shift features 
raw["shift_1"] = raw['count'].shift(1, freq='D')
raw["shift_2"] = raw['count'].shift(1, freq='2D')
raw["shift_7"] = raw['count'].shift(1, freq='7D')
raw["shift_30"] = raw['count'].shift(1, freq='30D')
 
 

# Visualization - Shift Features

In [21]:
demnad_data = raw[['date','count',"shift_1","shift_2","shift_7","shift_30"]].copy(deep = True)
#demnad_data.reset_index(inplace = True)
demnad_data.sort_values(by = ['date'],inplace=True)
demnad_data.index = demnad_data.date

fig, axs = plt.subplots(3, 1, figsize=(60, 70))
axs = axs.flatten()
ax_idx = 0
fig.tight_layout(pad=10)
fig.subplots_adjust(hspace=1)

#demnad_data.index = demnad_data['date']
#Plot a shifted example to verify the shift 

ax = demnad_data[demnad_data['date']<'2011-01-2']['count'].plot(figsize=(30, 20),fontsize = 22,color = 'black',ax=axs[0])
ax = demnad_data[demnad_data['date']<'2011-01-3']['shift_1'].plot(figsize=(40, 20),fontsize = 22,color = 'red',ax=axs[0])
ax.set_title("Shift By one Day", fontdict={'fontsize': 40, 'fontweight': 'medium'})
ax.legend(fontsize = 30)

ax = demnad_data[demnad_data['date']<'2011-01-7']['count'].plot(figsize=(30, 20),fontsize = 22,color = 'black',ax=axs[1])
ax = demnad_data[demnad_data['date']<'2011-01-14']['shift_7'].plot(figsize=(40, 20),fontsize = 22,color = 'red',ax=axs[1])
ax.set_title("Shift By Week", fontdict={'fontsize': 40, 'fontweight': 'medium'})
ax.legend(fontsize = 30)

ax = demnad_data[demnad_data['date']<'2011-01-30']['count'].plot(figsize=(30, 20),fontsize = 22,color = 'black',ax=axs[2])
ax = demnad_data[demnad_data['date']<'2011-02-28']['shift_30'].plot(figsize=(40, 20),fontsize = 22,color = 'red',ax=axs[2])
ax.set_title("Shift By a Month ", fontdict={'fontsize': 40, 'fontweight': 'medium'})
ax.legend(fontsize = 30)
Out[21]:
<matplotlib.legend.Legend at 0x29743ae1048>
In [22]:
raw.reset_index(inplace=True,drop=True)
train = raw[raw['data']=='train'].copy(deep=True)
test = raw[raw['data']=='test'].copy(deep=True)
test.reset_index(inplace=True,drop=True)
train.drop(['data'],axis=1,inplace =True)
test.drop(['data'],axis=1,inplace =True)

categorical_features = ["hour","day","month","season","weather","holiday","workingday","weekday"]
for items in categorical_features:
    train[items] = train[items].astype("category")
    test[items] = test[items].astype("category")
    
In [23]:
test.head()
Out[23]:
datetime season holiday workingday weather temp atemp humidity windspeed count date hour weekday day month shift_1 shift_2 shift_7 shift_30
0 2011-01-20 00:00:00 1 0 1 1 10.66 11.365 56 26.0027 14.320465 2011-01-20 00:00:00 0 3 20 1 3.0 NaN 7.0 NaN
1 2011-01-20 01:00:00 1 0 1 1 10.66 13.635 56 0.0000 3.275934 2011-01-20 01:00:00 1 3 20 1 7.0 NaN 2.0 NaN
2 2011-01-20 02:00:00 1 0 1 1 10.66 13.635 56 0.0000 1.362249 2011-01-20 02:00:00 2 3 20 1 3.0 NaN 2.0 NaN
3 2011-01-20 03:00:00 1 0 1 1 10.66 12.880 56 11.0014 2.759369 2011-01-20 03:00:00 3 3 20 1 NaN NaN 3.0 NaN
4 2011-01-20 04:00:00 1 0 1 1 10.66 12.880 56 11.0014 2.614722 2011-01-20 04:00:00 4 3 20 1 2.0 NaN 4.0 NaN
In [90]:
predictor_new_features_advnced1 = TabularPredictor(label="count",eval_metric='root_mean_squared_error').fit(
    train_data=train,
    time_limit=60,
    presets="best_quality"
)
No path specified. Models will be saved in: "AutogluonModels/ag-20211208_121656\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 60s
AutoGluon will save models to "AutogluonModels/ag-20211208_121656\"
AutoGluon Version:  0.3.1
Train Data Rows:    10886
Train Data Columns: 18
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
	Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    4112.71 MB
	Train Data (Original)  Memory Usage: 0.96 MB (0.0% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 2 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting CategoryFeatureGenerator...
			Fitting CategoryMemoryMinimizeFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Types of features in original data (raw dtype, special dtypes):
		('category', []) : 8 | ['season', 'holiday', 'workingday', 'weather', 'hour', ...]
		('datetime', []) : 2 | ['datetime', 'date']
		('float', [])    : 7 | ['temp', 'atemp', 'windspeed', 'shift_1', 'shift_2', ...]
		('int', [])      : 1 | ['humidity']
	Types of features in processed data (raw dtype, special dtypes):
		('category', [])             : 6 | ['season', 'weather', 'hour', 'weekday', 'day', ...]
		('float', [])                : 7 | ['temp', 'atemp', 'windspeed', 'shift_1', 'shift_2', ...]
		('int', [])                  : 1 | ['humidity']
		('int', ['bool'])            : 2 | ['holiday', 'workingday']
		('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
	0.4s = Fit runtime
	18 features in original data used to generate 18 features in processed data.
	Train Data (Processed) Memory Usage: 0.96 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.42s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
	To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 39.71s of the 59.57s of remaining time.
	-72.6859	 = Validation score   (root_mean_squared_error)
	0.06s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 39.39s of the 59.26s of remaining time.
	-72.135	 = Validation score   (root_mean_squared_error)
	0.06s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 39.08s of the 58.95s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 18.4735	valid_set's rmse: 33.5858
[2000]	train_set's rmse: 12.2684	valid_set's rmse: 32.9556
	Ran out of time, early stopping on iteration 2350. Best iteration is:
	[2228]	train_set's rmse: 11.3215	valid_set's rmse: 32.865
	Time limit exceeded... Skipping LightGBMXT_BAG_L1.
Fitting model: LightGBM_BAG_L1 ... Training model for up to 34.99s of the 54.85s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 11.8513	valid_set's rmse: 37.8223
	Ran out of time, early stopping on iteration 1751. Best iteration is:
	[1693]	train_set's rmse: 7.08644	valid_set's rmse: 37.4643
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 11.8429	valid_set's rmse: 39.953
	Ran out of time, early stopping on iteration 1848. Best iteration is:
	[1678]	train_set's rmse: 7.09089	valid_set's rmse: 39.3845
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 11.9154	valid_set's rmse: 33.991
	Ran out of time, early stopping on iteration 1756. Best iteration is:
	[1754]	train_set's rmse: 6.73913	valid_set's rmse: 33.6333
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 11.9578	valid_set's rmse: 38.9479
	Ran out of time, early stopping on iteration 1864. Best iteration is:
	[1840]	train_set's rmse: 6.3337	valid_set's rmse: 38.812
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 11.8915	valid_set's rmse: 37.7805
	Ran out of time, early stopping on iteration 1951. Best iteration is:
	[1925]	train_set's rmse: 5.99801	valid_set's rmse: 37.3201
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 11.6245	valid_set's rmse: 43.5617
	Ran out of time, early stopping on iteration 1859. Best iteration is:
	[1803]	train_set's rmse: 6.43973	valid_set's rmse: 43.2256
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 11.8943	valid_set's rmse: 37.4906
	Ran out of time, early stopping on iteration 1887. Best iteration is:
	[1874]	train_set's rmse: 6.27735	valid_set's rmse: 37.128
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 11.8519	valid_set's rmse: 36.727
	Ran out of time, early stopping on iteration 2014. Best iteration is:
	[2014]	train_set's rmse: 5.57978	valid_set's rmse: 36.2703
[2000]	train_set's rmse: 5.6272	valid_set's rmse: 36.2716
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 12.0288	valid_set's rmse: 42.357
	Ran out of time, early stopping on iteration 2118. Best iteration is:
	[1852]	train_set's rmse: 6.50221	valid_set's rmse: 41.8659
[2000]	train_set's rmse: 5.91355	valid_set's rmse: 41.8868
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 11.7975	valid_set's rmse: 36.735
[2000]	train_set's rmse: 5.70617	valid_set's rmse: 36.4428
	Ran out of time, early stopping on iteration 2143. Best iteration is:
	[1970]	train_set's rmse: 5.83681	valid_set's rmse: 36.424
	-38.2454	 = Validation score   (root_mean_squared_error)
	31.41s	 = Training   runtime
	1.14s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 59.58s of the 19.75s of remaining time.
	-38.2454	 = Validation score   (root_mean_squared_error)
	0.25s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 19.49s of the 19.48s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 19.3527	valid_set's rmse: 35.9711
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-38.2026	 = Validation score   (root_mean_squared_error)
	11.74s	 = Training   runtime
	0.46s	 = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 6.55s of the 6.54s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-38.9123	 = Validation score   (root_mean_squared_error)
	5.41s	 = Training   runtime
	0.14s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 0.9s of the 0.89s of remaining time.
	-39.0928	 = Validation score   (root_mean_squared_error)
	9.46s	 = Training   runtime
	0.5s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 59.58s of the -10.49s of remaining time.
	-37.668	 = Validation score   (root_mean_squared_error)
	0.22s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 70.74s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211208_121656\")
In [91]:
predictor_new_features_advnced1.leaderboard(train, silent=True)
Out[91]:
model score_test score_val pred_time_test pred_time_val fit_time pred_time_test_marginal pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 KNeighborsDist_BAG_L1 -0.283889 -72.135046 0.127982 0.112256 0.061965 0.127982 0.112256 0.061965 1 True 2
1 LightGBM_BAG_L1 -8.646669 -38.245361 10.174142 1.136365 31.409857 10.174142 1.136365 31.409857 1 True 3
2 WeightedEnsemble_L2 -8.646669 -38.245361 10.182119 1.136365 31.659730 0.007977 0.000000 0.249873 2 True 4
3 WeightedEnsemble_L3 -11.524802 -37.668018 15.240383 2.450974 58.355911 0.007996 0.000999 0.223883 3 True 8
4 LightGBM_BAG_L2 -11.645646 -38.912343 10.909840 1.497464 36.941634 0.482703 0.136920 5.409848 2 True 6
5 LightGBMXT_BAG_L2 -12.640081 -38.202572 14.047070 1.816336 43.267025 3.619934 0.455793 11.735239 2 True 5
6 RandomForestMSE_BAG_L2 -13.324610 -39.092819 11.129750 1.857261 40.986941 0.702614 0.496718 9.455155 2 True 7
7 KNeighborsUnif_BAG_L1 -58.788918 -72.685921 0.125013 0.111923 0.059965 0.125013 0.111923 0.059965 1 True 1
In [49]:
predictor_new_features_advnced1.feature_importance(data=train)
Computing feature importance via permutation shuffling for 18 features using 1000 rows with 3 shuffle sets...
	96.42s	= Expected runtime (32.14s per shuffle set)
	14.41s	= Actual runtime (Completed 3 of 3 shuffle sets)
Out[49]:
importance stddev p_value n p99_high p99_low
shift_7 128.675816 3.843351 0.000149 3 150.698641 106.652991
shift_1 80.366382 3.466760 0.000310 3 100.231302 60.501462
hour 36.030048 1.055016 0.000143 3 42.075406 29.984691
weather 23.518991 1.156033 0.000402 3 30.143185 16.894796
workingday 21.823440 3.372230 0.003933 3 41.146692 2.500187
humidity 10.719177 0.788247 0.000899 3 15.235921 6.202433
weekday 8.899389 0.645688 0.000875 3 12.599252 5.199525
shift_2 7.893582 1.298439 0.004450 3 15.333783 0.453382
shift_30 6.884801 2.185347 0.015991 3 19.407082 -5.637480
holiday 6.084657 3.805140 0.054692 3 27.888529 -15.719214
atemp 3.967531 0.862529 0.007696 3 8.909920 -0.974859
temp 3.872622 0.945149 0.009641 3 9.288429 -1.543186
datetime 3.251437 0.468886 0.003430 3 5.938207 0.564666
day 3.176005 1.014712 0.016191 3 8.990417 -2.638407
season 2.909107 0.496893 0.004793 3 5.756359 0.061854
date 2.808964 0.576545 0.006877 3 6.112631 -0.494703
month 2.265374 0.185249 0.001111 3 3.326871 1.203877
windspeed 2.102785 0.443802 0.007263 3 4.645819 -0.440249
In [92]:
predictor_new_features_advnced1.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
                    model  score_val  pred_time_val   fit_time  pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  fit_order
0     WeightedEnsemble_L3 -37.668018       2.450974  58.355911                0.000999           0.223883            3       True          8
1       LightGBMXT_BAG_L2 -38.202572       1.816336  43.267025                0.455793          11.735239            2       True          5
2     WeightedEnsemble_L2 -38.245361       1.136365  31.659730                0.000000           0.249873            2       True          4
3         LightGBM_BAG_L1 -38.245361       1.136365  31.409857                1.136365          31.409857            1       True          3
4         LightGBM_BAG_L2 -38.912343       1.497464  36.941634                0.136920           5.409848            2       True          6
5  RandomForestMSE_BAG_L2 -39.092819       1.857261  40.986941                0.496718           9.455155            2       True          7
6   KNeighborsDist_BAG_L1 -72.135046       0.112256   0.061965                0.112256           0.061965            1       True          2
7   KNeighborsUnif_BAG_L1 -72.685921       0.111923   0.059965                0.111923           0.059965            1       True          1
Number of models trained: 8
Types of models trained:
{'StackerEnsembleModel_RF', 'StackerEnsembleModel_LGB', 'StackerEnsembleModel_KNN', 'WeightedEnsembleModel'}
Bagging used: True  (with 10 folds)
Multi-layer stack-ensembling used: True  (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('category', [])             : 6 | ['season', 'weather', 'hour', 'weekday', 'day', ...]
('float', [])                : 7 | ['temp', 'atemp', 'windspeed', 'shift_1', 'shift_2', ...]
('int', [])                  : 1 | ['humidity']
('int', ['bool'])            : 2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) : 2 | ['datetime', 'date']
Plot summary of models saved to file: AutogluonModels/ag-20211208_121656\SummaryOfModels.html
*** End of fit() summary ***
Out[92]:
{'model_types': {'KNeighborsUnif_BAG_L1': 'StackerEnsembleModel_KNN',
  'KNeighborsDist_BAG_L1': 'StackerEnsembleModel_KNN',
  'LightGBM_BAG_L1': 'StackerEnsembleModel_LGB',
  'WeightedEnsemble_L2': 'WeightedEnsembleModel',
  'LightGBMXT_BAG_L2': 'StackerEnsembleModel_LGB',
  'LightGBM_BAG_L2': 'StackerEnsembleModel_LGB',
  'RandomForestMSE_BAG_L2': 'StackerEnsembleModel_RF',
  'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
 'model_performance': {'KNeighborsUnif_BAG_L1': -72.68592140879569,
  'KNeighborsDist_BAG_L1': -72.13504591728454,
  'LightGBM_BAG_L1': -38.24536147209494,
  'WeightedEnsemble_L2': -38.24536147209494,
  'LightGBMXT_BAG_L2': -38.202572338952905,
  'LightGBM_BAG_L2': -38.91234325157726,
  'RandomForestMSE_BAG_L2': -39.09281852368373,
  'WeightedEnsemble_L3': -37.66801834297829},
 'model_best': 'WeightedEnsemble_L3',
 'model_paths': {'KNeighborsUnif_BAG_L1': 'AutogluonModels/ag-20211208_121656\\models\\KNeighborsUnif_BAG_L1\\',
  'KNeighborsDist_BAG_L1': 'AutogluonModels/ag-20211208_121656\\models\\KNeighborsDist_BAG_L1\\',
  'LightGBM_BAG_L1': 'AutogluonModels/ag-20211208_121656\\models\\LightGBM_BAG_L1\\',
  'WeightedEnsemble_L2': 'AutogluonModels/ag-20211208_121656\\models\\WeightedEnsemble_L2\\',
  'LightGBMXT_BAG_L2': 'AutogluonModels/ag-20211208_121656\\models\\LightGBMXT_BAG_L2\\',
  'LightGBM_BAG_L2': 'AutogluonModels/ag-20211208_121656\\models\\LightGBM_BAG_L2\\',
  'RandomForestMSE_BAG_L2': 'AutogluonModels/ag-20211208_121656\\models\\RandomForestMSE_BAG_L2\\',
  'WeightedEnsemble_L3': 'AutogluonModels/ag-20211208_121656\\models\\WeightedEnsemble_L3\\'},
 'model_fit_times': {'KNeighborsUnif_BAG_L1': 0.059964656829833984,
  'KNeighborsDist_BAG_L1': 0.06196475028991699,
  'LightGBM_BAG_L1': 31.409857034683228,
  'WeightedEnsemble_L2': 0.24987316131591797,
  'LightGBMXT_BAG_L2': 11.735238552093506,
  'LightGBM_BAG_L2': 5.409847736358643,
  'RandomForestMSE_BAG_L2': 9.45515489578247,
  'WeightedEnsemble_L3': 0.22388315200805664},
 'model_pred_times': {'KNeighborsUnif_BAG_L1': 0.1119232177734375,
  'KNeighborsDist_BAG_L1': 0.11225557327270508,
  'LightGBM_BAG_L1': 1.1363646984100342,
  'WeightedEnsemble_L2': 0.0,
  'LightGBMXT_BAG_L2': 0.4557926654815674,
  'LightGBM_BAG_L2': 0.13692045211791992,
  'RandomForestMSE_BAG_L2': 0.4967179298400879,
  'WeightedEnsemble_L3': 0.0009992122650146484},
 'num_bag_folds': 10,
 'max_stack_level': 3,
 'model_hyperparams': {'KNeighborsUnif_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'KNeighborsDist_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'LightGBM_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'WeightedEnsemble_L2': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBMXT_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBM_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'RandomForestMSE_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'WeightedEnsemble_L3': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True}},
 'leaderboard':                     model  score_val  pred_time_val   fit_time  \
 0     WeightedEnsemble_L3 -37.668018       2.450974  58.355911   
 1       LightGBMXT_BAG_L2 -38.202572       1.816336  43.267025   
 2     WeightedEnsemble_L2 -38.245361       1.136365  31.659730   
 3         LightGBM_BAG_L1 -38.245361       1.136365  31.409857   
 4         LightGBM_BAG_L2 -38.912343       1.497464  36.941634   
 5  RandomForestMSE_BAG_L2 -39.092819       1.857261  40.986941   
 6   KNeighborsDist_BAG_L1 -72.135046       0.112256   0.061965   
 7   KNeighborsUnif_BAG_L1 -72.685921       0.111923   0.059965   
 
    pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  \
 0                0.000999           0.223883            3       True   
 1                0.455793          11.735239            2       True   
 2                0.000000           0.249873            2       True   
 3                1.136365          31.409857            1       True   
 4                0.136920           5.409848            2       True   
 5                0.496718           9.455155            2       True   
 6                0.112256           0.061965            1       True   
 7                0.111923           0.059965            1       True   
 
    fit_order  
 0          8  
 1          5  
 2          4  
 3          3  
 4          6  
 5          7  
 6          2  
 7          1  }
In [93]:
# Remember to set all negative values to zero
predictions_advancedV1 = predictor_new_features_advnced1.predict(test)
predictions_advancedV1[predictions_advancedV1<0] = 0
In [96]:
# Same submitting predictions
submission_new_features = pd.read_csv('sampleSubmission.csv')
submission_new_features["count"] = predictions_advancedV1
submission_new_features.to_csv("submission_new_features_Advanced_V1.csv", index=False)
In [99]:
!kaggle competitions submit -c bike-sharing-demand -f submission_new_features_Advanced_V1.csv -m "new features Advanced V1 "
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,

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In [100]:
!kaggle competitions submissions -c bike-sharing-demand  
fileName                                 date                 description                                   status    publicScore  privateScore  
---------------------------------------  -------------------  --------------------------------------------  --------  -----------  ------------  
submission_new_features_Advanced_V1.csv  2021-12-08 12:20:43  new features Advanced V1                      complete  0.45810      0.45810       
submission_new_features_Advanced_V1.csv  2021-12-08 12:20:12  new features                                  complete  0.45810      0.45810       
submission_new_features_log.csv          2021-12-08 12:07:08  NF - Model 2  (Basic  Log Transform )         complete  0.50789      0.50789       
submission_new_features_log.csv          2021-12-08 12:06:06  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features_log.csv          2021-12-08 11:34:53  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features.csv              2021-12-08 11:24:55  NF - Model 1  (Basic  Time Catogricla data )  complete  0.50674      0.50674       
submission.csv                           2021-12-08 11:13:27  first raw submission                          complete  1.38952      1.38952       
submission_new_hpo.csv                   2021-12-08 11:06:33  new features with hyperparameters Tune        complete  0.48748      0.48748       
submission_new_hpo.csv                   2021-12-08 09:14:10  new features with hyperparameters Tune        complete  0.51858      0.51858       
submission_new_hpo_ensV4.csv             2021-12-07 15:02:09  new features with hyperparameters Vקרדןםמ 4   complete  0.48961      0.48961       
submission_new_hpo.csv                   2021-12-07 14:29:38  new features with hyperparameters Tune        complete  0.48338      0.48338       
submission_new_featuresV3.csv            2021-12-07 14:00:06  new featuresV3                                complete  0.45074      0.45074       
submission_new_featuresV2.csv            2021-12-07 13:39:45  new features                                  complete  0.50306      0.50306       
submission_new_features.csv              2021-12-07 13:09:48  new features                                  complete  0.51097      0.51097       
submission.csv                           2021-12-07 13:04:23  first raw submission                          complete  1.39309      1.39309       
submission_new_hpo.csv                   2021-12-07 11:12:13  new features with hyperparameters Tune        complete  0.45509      0.45509       
submission_new_featuresV3.csv            2021-12-07 10:53:43  new featuresV3                                complete  0.45057      0.45057       
submission_new_featuresV2.csv            2021-12-07 10:43:05  new features                                  complete  0.47595      0.47595       
submission_new_featuresV2.csv            2021-12-07 10:42:32  new features                                  error     None         None          
submission_new_features.csv              2021-12-07 10:32:26  new features                                  complete  0.50670      0.50670       
submission.csv                           2021-12-07 10:24:27  first raw submission                          complete  1.38989      1.38989       
submission_new_hpo.csv                   2021-12-07 09:08:34  new features with hyperparameters             complete  0.46172      0.46172       
submission_new_hpo.csv                   2021-12-07 08:59:07  new features with hyperparameters             complete  0.45760      0.45760       
submission_new_features.csv              2021-12-06 20:57:01  new features                                  complete  0.44755      0.44755       
submission_new_features.csv              2021-12-06 20:50:18  new features                                  complete  0.44577      0.44577       
submission_new_features.csv              2021-12-06 20:45:43  new features                                  complete  0.44592      0.44592       
submission_RMSLE.csv                     2021-12-06 17:57:57  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:46:31  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:25:04  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:13:44  Custome Eval Metric                           complete  0.46093      0.46093       
submission_new_hpo_ens.csv               2021-12-06 15:59:53  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv               2021-12-06 15:55:19  new features with hyperparameters             complete  0.47243      0.47243       
submission_new_hpo_ens.csv               2021-12-06 15:14:56  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv               2021-12-06 15:11:35  new features with hyperparameters             complete  0.47219      0.47219       
submission_new_hpo_ens.csv               2021-12-06 15:03:25  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv                   2021-12-06 15:02:29  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv                   2021-12-06 13:32:40  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv                   2021-12-06 12:22:42  new features with hyperparameters             complete  0.45943      0.45943       
submission_new_hpo.csv                   2021-12-06 12:19:40  new features with hyperparameters             complete  0.45999      0.45999       
submission_new_hpo.csv                   2021-12-06 11:38:43  new features with hyperparameters             complete  0.49236      0.49236       
submission_new_hpo.csv                   2021-12-06 11:23:09  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv                   2021-12-06 11:18:36  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv                   2021-12-06 11:13:58  new features with hyperparameters             complete  0.46954      0.46954       
submission_new_features.csv              2021-12-06 10:58:08  new features                                  complete  0.44585      0.44585       
submission_new_hpo.csv                   2021-12-06 10:54:45  new features with hyperparameters             complete  0.48625      0.48625       
submission_new_hpo.csv                   2021-12-06 10:39:14  new features with hyperparameters             complete  0.49986      0.49986       
submission_new_hpo.csv                   2021-12-06 10:35:11  new features with hyperparameters             complete  0.45109      0.45109       
submission_new_features.csv              2021-12-06 09:55:51  new features                                  complete  0.44583      0.44583       
submission_new_features.csv              2021-12-04 11:36:34  new features                                  complete  0.47874      0.47874       
submission_new_features.csv              2021-12-04 11:32:02  new features                                  complete  0.50538      0.50538       
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,
In [60]:
raw.head()
Out[60]:
datetime season holiday workingday weather temp atemp humidity windspeed count date hour weekday day month data shift_1 shift_2 shift_7 shift_30
0 2011-01-01 00:00:00 1 0 0 1 9.84 14.395 81 0.0 16.0 2011-01-01 00:00:00 0 5 1 1 train NaN NaN NaN NaN
1 2011-01-01 01:00:00 1 0 0 1 9.02 13.635 80 0.0 40.0 2011-01-01 01:00:00 1 5 1 1 train NaN NaN NaN NaN
2 2011-01-01 02:00:00 1 0 0 1 9.02 13.635 80 0.0 32.0 2011-01-01 02:00:00 2 5 1 1 train NaN NaN NaN NaN
3 2011-01-01 03:00:00 1 0 0 1 9.84 14.395 75 0.0 13.0 2011-01-01 03:00:00 3 5 1 1 train NaN NaN NaN NaN
4 2011-01-01 04:00:00 1 0 0 1 9.84 14.395 75 0.0 1.0 2011-01-01 04:00:00 4 5 1 1 train NaN NaN NaN NaN

More Time Features

In [24]:
#Shift features (Houres )
raw.index = raw.datetime
raw["shift_1h"] = raw['count'].shift(1, freq='1H')
raw["shift_2h"] = raw['count'].shift(1, freq='2H')
raw["shift_3h"] = raw['count'].shift(1, freq='3H')
raw["shift_4h"] = raw['count'].shift(1, freq='4H')
raw["shift_5h"] = raw['count'].shift(1, freq='5H')
In [25]:
#calculate Rolling window mean and STD over few of the  shift columns 
raw["rollin_7d_mean"] = raw['shift_1'].rolling(7).mean()
raw["rollin_7d_std"] = raw['shift_1'].rolling(7).std()
raw["rollin_30d_mean"] = raw['shift_1'].rolling(30).mean()
raw["rollin_30d_std"] = raw['shift_1'].rolling(30).std()
raw["rollin_12h_mean"] = raw['shift_1h'].rolling(12).mean()
raw["rollind_12h_std"] = raw['shift_1h'].rolling(12).std()
raw["rollin_24h_mean"] = raw['shift_1h'].rolling(24).mean()
raw["rollind_24h_std"] = raw['shift_1h'].rolling(24).std()
In [26]:
#Build the model with the new Features 
raw.reset_index(inplace=True,drop=True)
train = raw[raw['data']=='train'].copy(deep=True)
test = raw[raw['data']=='test'].copy(deep=True)
test.reset_index(inplace=True,drop=True)
train.drop(['data'],axis=1,inplace =True)
test.drop(['data'],axis=1,inplace =True)

categorical_features = ["hour","day","month","season","weather","holiday","workingday","weekday",'holiday', 'workingday']
for items in categorical_features:
    train[items] = train[items].astype("category")
    test[items] = test[items].astype("category")
    
In [27]:
train.head()
Out[27]:
datetime season holiday workingday weather temp atemp humidity windspeed count ... shift_4h shift_5h rollin_7d_mean rollin_7d_std rollin_30d_mean rollin_30d_std rollin_12h_mean rollind_12h_std rollin_24h_mean rollind_24h_std
0 2011-01-01 00:00:00 1 0 0 1 9.84 14.395 81 0.0 16.0 ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
1 2011-01-01 01:00:00 1 0 0 1 9.02 13.635 80 0.0 40.0 ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
2 2011-01-01 02:00:00 1 0 0 1 9.02 13.635 80 0.0 32.0 ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
3 2011-01-01 03:00:00 1 0 0 1 9.84 14.395 75 0.0 13.0 ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
4 2011-01-01 04:00:00 1 0 0 1 9.84 14.395 75 0.0 1.0 ... 16.0 NaN NaN NaN NaN NaN NaN NaN NaN NaN

5 rows × 32 columns

In [28]:
predictor_new_features_advanced_V3 = TabularPredictor(label="count",eval_metric='root_mean_squared_error').fit(
    train_data=train,
    time_limit=60,
    presets="best_quality"
)
No path specified. Models will be saved in: "AutogluonModels/ag-20211210_084351\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 60s
AutoGluon will save models to "AutogluonModels/ag-20211210_084351\"
AutoGluon Version:  0.3.1
Train Data Rows:    10886
Train Data Columns: 31
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
	Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    2299.58 MB
	Train Data (Original)  Memory Usage: 2.09 MB (0.1% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 2 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting CategoryFeatureGenerator...
			Fitting CategoryMemoryMinimizeFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Types of features in original data (raw dtype, special dtypes):
		('category', []) :  8 | ['season', 'holiday', 'workingday', 'weather', 'hour', ...]
		('datetime', []) :  2 | ['datetime', 'date']
		('float', [])    : 20 | ['temp', 'atemp', 'windspeed', 'shift_1', 'shift_2', ...]
		('int', [])      :  1 | ['humidity']
	Types of features in processed data (raw dtype, special dtypes):
		('category', [])             :  6 | ['season', 'weather', 'hour', 'weekday', 'day', ...]
		('float', [])                : 20 | ['temp', 'atemp', 'windspeed', 'shift_1', 'shift_2', ...]
		('int', [])                  :  1 | ['humidity']
		('int', ['bool'])            :  2 | ['holiday', 'workingday']
		('int', ['datetime_as_int']) :  2 | ['datetime', 'date']
	0.2s = Fit runtime
	31 features in original data used to generate 31 features in processed data.
	Train Data (Processed) Memory Usage: 2.09 MB (0.1% of available memory)
Data preprocessing and feature engineering runtime = 0.27s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
	To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 39.81s of the 59.73s of remaining time.
	-48.3158	 = Validation score   (root_mean_squared_error)
	0.02s	 = Training   runtime
	4.59s	 = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 34.99s of the 54.9s of remaining time.
	-47.6509	 = Validation score   (root_mean_squared_error)
	0.02s	 = Training   runtime
	5.14s	 = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 29.61s of the 49.53s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 908. Best iteration is:
	[833]	train_set's rmse: 16.3415	valid_set's rmse: 30.9647
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 14.7202	valid_set's rmse: 34.6147
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 14.7621	valid_set's rmse: 30.8732
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-31.9404	 = Validation score   (root_mean_squared_error)
	16.02s	 = Training   runtime
	0.34s	 = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 12.54s of the 32.46s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 325. Best iteration is:
	[268]	train_set's rmse: 20.314	valid_set's rmse: 32.4412
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 308. Best iteration is:
	[299]	train_set's rmse: 19.1567	valid_set's rmse: 35.8671
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 415. Best iteration is:
	[415]	train_set's rmse: 16.7362	valid_set's rmse: 31.1802
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 411. Best iteration is:
	[374]	train_set's rmse: 17.4503	valid_set's rmse: 32.9475
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 393. Best iteration is:
	[270]	train_set's rmse: 20.0538	valid_set's rmse: 34.704
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 580. Best iteration is:
	[579]	train_set's rmse: 13.9387	valid_set's rmse: 30.9876
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 607. Best iteration is:
	[572]	train_set's rmse: 14.1132	valid_set's rmse: 31.8345
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-33.6946	 = Validation score   (root_mean_squared_error)
	11.01s	 = Training   runtime
	0.22s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 1.04s of the 20.96s of remaining time.
	-40.2536	 = Validation score   (root_mean_squared_error)
	13.02s	 = Training   runtime
	0.8s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 59.73s of the 5.52s of remaining time.
	-31.7567	 = Validation score   (root_mean_squared_error)
	0.32s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 5.18s of the 5.16s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 74. Best iteration is:
	[74]	train_set's rmse: 31.6215	valid_set's rmse: 35.3579
	Time limit exceeded... Skipping LightGBMXT_BAG_L2.
Fitting model: LightGBM_BAG_L2 ... Training model for up to 4.61s of the 4.6s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 58. Best iteration is:
	[58]	train_set's rmse: 29.5088	valid_set's rmse: 34.3943
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 68. Best iteration is:
	[68]	train_set's rmse: 28.0471	valid_set's rmse: 33.1249
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 95. Best iteration is:
	[86]	train_set's rmse: 26.3968	valid_set's rmse: 33.2001
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 74. Best iteration is:
	[74]	train_set's rmse: 27.6488	valid_set's rmse: 29.5122
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 74. Best iteration is:
	[74]	train_set's rmse: 27.6217	valid_set's rmse: 31.3089
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 90. Best iteration is:
	[83]	train_set's rmse: 26.6773	valid_set's rmse: 32.5055
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 56. Best iteration is:
	[56]	train_set's rmse: 30.2334	valid_set's rmse: 31.1786
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 50. Best iteration is:
	[50]	train_set's rmse: 31.6316	valid_set's rmse: 37.014
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 95. Best iteration is:
	[81]	train_set's rmse: 26.8663	valid_set's rmse: 33.5921
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 76. Best iteration is:
	[76]	train_set's rmse: 27.2696	valid_set's rmse: 32.6982
	-32.9087	 = Validation score   (root_mean_squared_error)
	4.34s	 = Training   runtime
	0.15s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 0.01s of the -0.0s of remaining time.
	-33.0039	 = Validation score   (root_mean_squared_error)
	18.66s	 = Training   runtime
	0.8s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 59.73s of the -20.85s of remaining time.
	-32.4898	 = Validation score   (root_mean_squared_error)
	0.16s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 81.04s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211210_084351\")
In [106]:
predictor_new_features_advanced_V3.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
                    model  score_val  pred_time_val   fit_time  pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  fit_order
0     WeightedEnsemble_L2 -31.636736       5.734774  27.997924                0.001013           0.308821            2       True          6
1       LightGBMXT_BAG_L1 -31.714531       0.477777  18.554368                0.477777          18.554368            1       True          3
2       LightGBMXT_BAG_L2 -33.398709      11.105198  45.245967                0.175928           4.644301            2       True          7
3     WeightedEnsemble_L3 -33.398709      11.106197  45.247964                0.000999           0.001998            3       True          8
4         LightGBM_BAG_L1 -34.422494       0.235880   9.107751                0.235880           9.107751            1       True          4
5  RandomForestMSE_BAG_L1 -40.409168       0.534705  12.890577                0.534705          12.890577            1       True          5
6   KNeighborsDist_BAG_L1 -47.578748       5.020104   0.026984                5.020104           0.026984            1       True          2
7   KNeighborsUnif_BAG_L1 -48.240770       4.660803   0.021986                4.660803           0.021986            1       True          1
Number of models trained: 8
Types of models trained:
{'StackerEnsembleModel_RF', 'StackerEnsembleModel_LGB', 'StackerEnsembleModel_KNN', 'WeightedEnsembleModel'}
Bagging used: True  (with 10 folds)
Multi-layer stack-ensembling used: True  (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('category', [])             :  6 | ['season', 'weather', 'hour', 'weekday', 'day', ...]
('float', [])                : 20 | ['temp', 'atemp', 'windspeed', 'shift_1', 'shift_2', ...]
('int', [])                  :  1 | ['humidity']
('int', ['bool'])            :  2 | ['holiday', 'workingday']
('int', ['datetime_as_int']) :  2 | ['datetime', 'date']
Plot summary of models saved to file: AutogluonModels/ag-20211208_123837\SummaryOfModels.html
*** End of fit() summary ***
Out[106]:
{'model_types': {'KNeighborsUnif_BAG_L1': 'StackerEnsembleModel_KNN',
  'KNeighborsDist_BAG_L1': 'StackerEnsembleModel_KNN',
  'LightGBMXT_BAG_L1': 'StackerEnsembleModel_LGB',
  'LightGBM_BAG_L1': 'StackerEnsembleModel_LGB',
  'RandomForestMSE_BAG_L1': 'StackerEnsembleModel_RF',
  'WeightedEnsemble_L2': 'WeightedEnsembleModel',
  'LightGBMXT_BAG_L2': 'StackerEnsembleModel_LGB',
  'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
 'model_performance': {'KNeighborsUnif_BAG_L1': -48.24077026076795,
  'KNeighborsDist_BAG_L1': -47.57874791446982,
  'LightGBMXT_BAG_L1': -31.714530723715097,
  'LightGBM_BAG_L1': -34.422494219802275,
  'RandomForestMSE_BAG_L1': -40.409168288443695,
  'WeightedEnsemble_L2': -31.636735889555165,
  'LightGBMXT_BAG_L2': -33.39870868524447,
  'WeightedEnsemble_L3': -33.39870868524447},
 'model_best': 'WeightedEnsemble_L2',
 'model_paths': {'KNeighborsUnif_BAG_L1': 'AutogluonModels/ag-20211208_123837\\models\\KNeighborsUnif_BAG_L1\\',
  'KNeighborsDist_BAG_L1': 'AutogluonModels/ag-20211208_123837\\models\\KNeighborsDist_BAG_L1\\',
  'LightGBMXT_BAG_L1': 'AutogluonModels/ag-20211208_123837\\models\\LightGBMXT_BAG_L1\\',
  'LightGBM_BAG_L1': 'AutogluonModels/ag-20211208_123837\\models\\LightGBM_BAG_L1\\',
  'RandomForestMSE_BAG_L1': 'AutogluonModels/ag-20211208_123837\\models\\RandomForestMSE_BAG_L1\\',
  'WeightedEnsemble_L2': 'AutogluonModels/ag-20211208_123837\\models\\WeightedEnsemble_L2\\',
  'LightGBMXT_BAG_L2': 'AutogluonModels/ag-20211208_123837\\models\\LightGBMXT_BAG_L2\\',
  'WeightedEnsemble_L3': 'AutogluonModels/ag-20211208_123837\\models\\WeightedEnsemble_L3\\'},
 'model_fit_times': {'KNeighborsUnif_BAG_L1': 0.021985769271850586,
  'KNeighborsDist_BAG_L1': 0.026984453201293945,
  'LightGBMXT_BAG_L1': 18.554367542266846,
  'LightGBM_BAG_L1': 9.107750654220581,
  'RandomForestMSE_BAG_L1': 12.890576839447021,
  'WeightedEnsemble_L2': 0.308821439743042,
  'LightGBMXT_BAG_L2': 4.644301414489746,
  'WeightedEnsemble_L3': 0.001997709274291992},
 'model_pred_times': {'KNeighborsUnif_BAG_L1': 4.660802602767944,
  'KNeighborsDist_BAG_L1': 5.02010440826416,
  'LightGBMXT_BAG_L1': 0.47777724266052246,
  'LightGBM_BAG_L1': 0.23587989807128906,
  'RandomForestMSE_BAG_L1': 0.5347051620483398,
  'WeightedEnsemble_L2': 0.001012563705444336,
  'LightGBMXT_BAG_L2': 0.17592835426330566,
  'WeightedEnsemble_L3': 0.00099945068359375},
 'num_bag_folds': 10,
 'max_stack_level': 3,
 'model_hyperparams': {'KNeighborsUnif_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'KNeighborsDist_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'LightGBMXT_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBM_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'RandomForestMSE_BAG_L1': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'WeightedEnsemble_L2': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'LightGBMXT_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'WeightedEnsemble_L3': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True}},
 'leaderboard':                     model  score_val  pred_time_val   fit_time  \
 0     WeightedEnsemble_L2 -31.636736       5.734774  27.997924   
 1       LightGBMXT_BAG_L1 -31.714531       0.477777  18.554368   
 2       LightGBMXT_BAG_L2 -33.398709      11.105198  45.245967   
 3     WeightedEnsemble_L3 -33.398709      11.106197  45.247964   
 4         LightGBM_BAG_L1 -34.422494       0.235880   9.107751   
 5  RandomForestMSE_BAG_L1 -40.409168       0.534705  12.890577   
 6   KNeighborsDist_BAG_L1 -47.578748       5.020104   0.026984   
 7   KNeighborsUnif_BAG_L1 -48.240770       4.660803   0.021986   
 
    pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  \
 0                0.001013           0.308821            2       True   
 1                0.477777          18.554368            1       True   
 2                0.175928           4.644301            2       True   
 3                0.000999           0.001998            3       True   
 4                0.235880           9.107751            1       True   
 5                0.534705          12.890577            1       True   
 6                5.020104           0.026984            1       True   
 7                4.660803           0.021986            1       True   
 
    fit_order  
 0          6  
 1          3  
 2          7  
 3          8  
 4          4  
 5          5  
 6          2  
 7          1  }
In [116]:
predictor_new_features_advanced_V3.leaderboard(train, silent=True)
Out[116]:
model score_test score_val pred_time_test pred_time_val fit_time pred_time_test_marginal pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 KNeighborsDist_BAG_L1 -0.000000 -47.578748 4.324185 5.020104 0.026984 4.324185 5.020104 0.026984 1 True 2
1 RandomForestMSE_BAG_L1 -14.953333 -40.409168 0.526908 0.534705 12.890577 0.526908 0.534705 12.890577 1 True 5
2 LightGBMXT_BAG_L2 -19.481544 -33.398709 15.264128 11.105198 45.245967 0.790564 0.175928 4.644301 2 True 7
3 WeightedEnsemble_L3 -19.481544 -33.398709 15.265128 11.106197 45.247964 0.000999 0.000999 0.001998 3 True 8
4 LightGBMXT_BAG_L1 -19.641388 -31.714531 3.835796 0.477777 18.554368 3.835796 0.477777 18.554368 1 True 3
5 WeightedEnsemble_L2 -19.711362 -31.636736 9.381241 5.734774 27.997924 0.003979 0.001013 0.308821 2 True 6
6 LightGBM_BAG_L1 -23.690134 -34.422494 1.217281 0.235880 9.107751 1.217281 0.235880 9.107751 1 True 4
7 KNeighborsUnif_BAG_L1 -38.689969 -48.240770 4.569395 4.660803 0.021986 4.569395 4.660803 0.021986 1 True 1
In [29]:
features_importance = predictor_new_features_advanced_V3.feature_importance(data=train)
Computing feature importance via permutation shuffling for 31 features using 1000 rows with 3 shuffle sets...
	124.45s	= Expected runtime (41.48s per shuffle set)
	74.71s	= Actual runtime (Completed 3 of 3 shuffle sets)
In [108]:
# Remember to set all negative values to zero
predictionsV3 = predictor_new_features_advanced_V3.predict(test)
predictionsV3[predictionsV3<0] = 0
In [109]:
# Same submitting predictions
submission_new_features = pd.read_csv('sampleSubmission.csv')
submission_new_features["count"] = predictionsV3
submission_new_features.to_csv("submission_new_featuresV3.csv", index=False)
In [110]:
!kaggle competitions submit -c bike-sharing-demand -f submission_new_featuresV3.csv -m "new features_AdvancedV3"
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,

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In [111]:
!kaggle competitions submissions -c bike-sharing-demand  
fileName                                 date                 description                                   status    publicScore  privateScore  
---------------------------------------  -------------------  --------------------------------------------  --------  -----------  ------------  
submission_new_featuresV3.csv            2021-12-08 12:44:41  new features_AdvancedV3                       complete  0.45274      0.45274       
submission_new_features_Advanced_V1.csv  2021-12-08 12:20:43  new features Advanced V1                      complete  0.45810      0.45810       
submission_new_features_Advanced_V1.csv  2021-12-08 12:20:12  new features                                  complete  0.45810      0.45810       
submission_new_features_log.csv          2021-12-08 12:07:08  NF - Model 2  (Basic  Log Transform )         complete  0.50789      0.50789       
submission_new_features_log.csv          2021-12-08 12:06:06  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features_log.csv          2021-12-08 11:34:53  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features.csv              2021-12-08 11:24:55  NF - Model 1  (Basic  Time Catogricla data )  complete  0.50674      0.50674       
submission.csv                           2021-12-08 11:13:27  first raw submission                          complete  1.38952      1.38952       
submission_new_hpo.csv                   2021-12-08 11:06:33  new features with hyperparameters Tune        complete  0.48748      0.48748       
submission_new_hpo.csv                   2021-12-08 09:14:10  new features with hyperparameters Tune        complete  0.51858      0.51858       
submission_new_hpo_ensV4.csv             2021-12-07 15:02:09  new features with hyperparameters Vקרדןםמ 4   complete  0.48961      0.48961       
submission_new_hpo.csv                   2021-12-07 14:29:38  new features with hyperparameters Tune        complete  0.48338      0.48338       
submission_new_featuresV3.csv            2021-12-07 14:00:06  new featuresV3                                complete  0.45074      0.45074       
submission_new_featuresV2.csv            2021-12-07 13:39:45  new features                                  complete  0.50306      0.50306       
submission_new_features.csv              2021-12-07 13:09:48  new features                                  complete  0.51097      0.51097       
submission.csv                           2021-12-07 13:04:23  first raw submission                          complete  1.39309      1.39309       
submission_new_hpo.csv                   2021-12-07 11:12:13  new features with hyperparameters Tune        complete  0.45509      0.45509       
submission_new_featuresV3.csv            2021-12-07 10:53:43  new featuresV3                                complete  0.45057      0.45057       
submission_new_featuresV2.csv            2021-12-07 10:43:05  new features                                  complete  0.47595      0.47595       
submission_new_featuresV2.csv            2021-12-07 10:42:32  new features                                  error     None         None          
submission_new_features.csv              2021-12-07 10:32:26  new features                                  complete  0.50670      0.50670       
submission.csv                           2021-12-07 10:24:27  first raw submission                          complete  1.38989      1.38989       
submission_new_hpo.csv                   2021-12-07 09:08:34  new features with hyperparameters             complete  0.46172      0.46172       
submission_new_hpo.csv                   2021-12-07 08:59:07  new features with hyperparameters             complete  0.45760      0.45760       
submission_new_features.csv              2021-12-06 20:57:01  new features                                  complete  0.44755      0.44755       
submission_new_features.csv              2021-12-06 20:50:18  new features                                  complete  0.44577      0.44577       
submission_new_features.csv              2021-12-06 20:45:43  new features                                  complete  0.44592      0.44592       
submission_RMSLE.csv                     2021-12-06 17:57:57  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:46:31  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:25:04  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:13:44  Custome Eval Metric                           complete  0.46093      0.46093       
submission_new_hpo_ens.csv               2021-12-06 15:59:53  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv               2021-12-06 15:55:19  new features with hyperparameters             complete  0.47243      0.47243       
submission_new_hpo_ens.csv               2021-12-06 15:14:56  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv               2021-12-06 15:11:35  new features with hyperparameters             complete  0.47219      0.47219       
submission_new_hpo_ens.csv               2021-12-06 15:03:25  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv                   2021-12-06 15:02:29  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv                   2021-12-06 13:32:40  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv                   2021-12-06 12:22:42  new features with hyperparameters             complete  0.45943      0.45943       
submission_new_hpo.csv                   2021-12-06 12:19:40  new features with hyperparameters             complete  0.45999      0.45999       
submission_new_hpo.csv                   2021-12-06 11:38:43  new features with hyperparameters             complete  0.49236      0.49236       
submission_new_hpo.csv                   2021-12-06 11:23:09  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv                   2021-12-06 11:18:36  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv                   2021-12-06 11:13:58  new features with hyperparameters             complete  0.46954      0.46954       
submission_new_features.csv              2021-12-06 10:58:08  new features                                  complete  0.44585      0.44585       
submission_new_hpo.csv                   2021-12-06 10:54:45  new features with hyperparameters             complete  0.48625      0.48625       
submission_new_hpo.csv                   2021-12-06 10:39:14  new features with hyperparameters             complete  0.49986      0.49986       
submission_new_hpo.csv                   2021-12-06 10:35:11  new features with hyperparameters             complete  0.45109      0.45109       
submission_new_features.csv              2021-12-06 09:55:51  new features                                  complete  0.44583      0.44583       
submission_new_features.csv              2021-12-04 11:36:34  new features                                  complete  0.47874      0.47874       
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,
In [30]:
features_importance
features_importance.index[0:25]
Out[30]:
Index(['shift_1h', 'hour', 'shift_7', 'workingday', 'shift_1', 'weather',
       'weekday', 'rollind_24h_std', 'day', 'humidity', 'month', 'shift_5h',
       'shift_4h', 'shift_2h', 'shift_3h', 'temp', 'datetime',
       'rollind_12h_std', 'atemp', 'rollin_12h_mean', 'shift_30',
       'rollin_24h_mean', 'rollin_7d_std', 'shift_2', 'date'],
      dtype='object')
In [31]:
#Use Only the High score imortant features 
df_features = train[features_importance.index[0:25]].copy(deep=True)
df_features['count'] = train['count']
df_test = test[features_importance.index[0:25]].copy(deep=True)
In [168]:
predictor_new_features_important = TabularPredictor(label="count",eval_metric='root_mean_squared_error').fit(
    train_data=df_features,
    time_limit=60,
    presets="best_quality"
)
No path specified. Models will be saved in: "AutogluonModels/ag-20211208_135413\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 60s
AutoGluon will save models to "AutogluonModels/ag-20211208_135413\"
AutoGluon Version:  0.3.1
Train Data Rows:    10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
	Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    3992.79 MB
	Train Data (Original)  Memory Usage: 1.72 MB (0.0% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting CategoryFeatureGenerator...
			Fitting CategoryMemoryMinimizeFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Types of features in original data (raw dtype, special dtypes):
		('category', []) :  6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
		('datetime', []) :  2 | ['datetime', 'date']
		('float', [])    : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])      :  1 | ['humidity']
	Types of features in processed data (raw dtype, special dtypes):
		('category', [])             :  5 | ['hour', 'weather', 'weekday', 'day', 'month']
		('float', [])                : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])                  :  1 | ['humidity']
		('int', ['bool'])            :  1 | ['workingday']
		('int', ['datetime_as_int']) :  2 | ['datetime', 'date']
	0.2s = Fit runtime
	25 features in original data used to generate 25 features in processed data.
	Train Data (Processed) Memory Usage: 1.72 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.25s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
	To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 39.82s of the 59.74s of remaining time.
	-48.5053	 = Validation score   (root_mean_squared_error)
	0.02s	 = Training   runtime
	4.57s	 = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 35.03s of the 54.95s of remaining time.
	-47.8858	 = Validation score   (root_mean_squared_error)
	0.02s	 = Training   runtime
	4.52s	 = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 30.28s of the 50.2s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 15.1129	valid_set's rmse: 34.6313
	Ran out of time, early stopping on iteration 1281. Best iteration is:
	[1208]	train_set's rmse: 13.6645	valid_set's rmse: 34.5781
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 15.1476	valid_set's rmse: 31.3633
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-31.6571	 = Validation score   (root_mean_squared_error)
	17.36s	 = Training   runtime
	0.51s	 = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 11.46s of the 31.38s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 251. Best iteration is:
	[249]	train_set's rmse: 21.0548	valid_set's rmse: 32.1618
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 270. Best iteration is:
	[270]	train_set's rmse: 20.2513	valid_set's rmse: 36.473
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 271. Best iteration is:
	[271]	train_set's rmse: 20.4613	valid_set's rmse: 31.0755
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 279. Best iteration is:
	[270]	train_set's rmse: 20.2672	valid_set's rmse: 32.9987
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 290. Best iteration is:
	[280]	train_set's rmse: 20.0223	valid_set's rmse: 34.2662
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 257. Best iteration is:
	[256]	train_set's rmse: 20.521	valid_set's rmse: 39.3415
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 313. Best iteration is:
	[308]	train_set's rmse: 19.3424	valid_set's rmse: 31.3924
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 339. Best iteration is:
	[336]	train_set's rmse: 18.5373	valid_set's rmse: 31.8556
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 377. Best iteration is:
	[342]	train_set's rmse: 18.3832	valid_set's rmse: 36.3048
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 419. Best iteration is:
	[297]	train_set's rmse: 19.6046	valid_set's rmse: 32.1718
	-33.9039	 = Validation score   (root_mean_squared_error)
	10.75s	 = Training   runtime
	0.27s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 0.2s of the 20.12s of remaining time.
	-40.0709	 = Validation score   (root_mean_squared_error)
	11.07s	 = Training   runtime
	0.43s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 59.75s of the 7.3s of remaining time.
	-31.5609	 = Validation score   (root_mean_squared_error)
	0.31s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 6.98s of the 6.97s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 220. Best iteration is:
	[211]	train_set's rmse: 25.9032	valid_set's rmse: 33.9716
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 226. Best iteration is:
	[220]	train_set's rmse: 26.0666	valid_set's rmse: 32.566
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 232. Best iteration is:
	[195]	train_set's rmse: 26.5773	valid_set's rmse: 33.9915
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 236. Best iteration is:
	[235]	train_set's rmse: 25.7137	valid_set's rmse: 30.3967
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 235. Best iteration is:
	[195]	train_set's rmse: 26.5938	valid_set's rmse: 30.5762
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 246. Best iteration is:
	[243]	train_set's rmse: 25.1824	valid_set's rmse: 32.2322
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 227. Best iteration is:
	[227]	train_set's rmse: 25.8136	valid_set's rmse: 30.9506
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 248. Best iteration is:
	[138]	train_set's rmse: 28.0279	valid_set's rmse: 34.9272
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 215. Best iteration is:
	[214]	train_set's rmse: 25.7862	valid_set's rmse: 34.018
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 281. Best iteration is:
	[278]	train_set's rmse: 24.4693	valid_set's rmse: 32.3472
	-32.633	 = Validation score   (root_mean_squared_error)
	6.48s	 = Training   runtime
	0.24s	 = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 0.04s of the 0.03s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 1. Best iteration is:
	[1]	train_set's rmse: 172.688	valid_set's rmse: 169.43
	Time limit exceeded... Skipping LightGBM_BAG_L2.
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 59.75s of the -0.24s of remaining time.
	-32.633	 = Validation score   (root_mean_squared_error)
	0.0s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 60.26s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211208_135413\")
In [169]:
predictor_new_features_important.leaderboard(df_features, silent=True)
Out[169]:
model score_test score_val pred_time_test pred_time_val fit_time pred_time_test_marginal pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 KNeighborsDist_BAG_L1 -3.270174e-07 -47.885773 4.354761 4.518684 0.019987 4.354761 4.518684 0.019987 1 True 2
1 RandomForestMSE_BAG_L1 -1.482808e+01 -40.070932 0.509412 0.431772 11.071623 0.509412 0.431772 11.071623 1 True 5
2 LightGBMXT_BAG_L2 -1.684611e+01 -32.632991 16.961518 10.542506 45.697771 1.560102 0.244818 6.478295 2 True 7
3 WeightedEnsemble_L3 -1.684611e+01 -32.632991 16.968516 10.543504 45.699769 0.006997 0.000999 0.001998 3 True 8
4 WeightedEnsemble_L2 -1.896510e+01 -31.560907 10.585708 5.297238 28.435670 0.011993 0.001000 0.306823 2 True 6
5 LightGBMXT_BAG_L1 -1.925119e+01 -31.657134 4.356027 0.510692 17.362014 4.356027 0.510692 17.362014 1 True 3
6 LightGBM_BAG_L1 -2.062035e+01 -33.903901 1.862927 0.266862 10.746845 1.862927 0.266862 10.746845 1 True 4
7 KNeighborsUnif_BAG_L1 -3.891666e+01 -48.505319 4.318290 4.569677 0.019007 4.318290 4.569677 0.019007 1 True 1
In [170]:
# Remember to set all negative values to zero
predictions_import_features = predictor_new_features_important.predict(df_test)
predictions_import_features[predictions_import_features<0] = 0

# Same submitting predictions
submission_new_features = pd.read_csv('sampleSubmission.csv')
submission_new_features["count"] = predictions_import_features
submission_new_features.to_csv("submission_import_features.csv", index=False)
In [171]:
!kaggle competitions submit -c bike-sharing-demand -f submission_import_features.csv -m "Feature Importance"
!kaggle competitions submissions -c bike-sharing-demand  
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,

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fileName                                 date                 description                                   status    publicScore  privateScore  
---------------------------------------  -------------------  --------------------------------------------  --------  -----------  ------------  
submission_import_features.csv           2021-12-08 13:55:39  Feature Importance                            complete  0.45194      0.45194       
submission_import_features.csv           2021-12-08 13:53:11  Feature Importance                            complete  0.45414      0.45414       
submission_import_features.csv           2021-12-08 13:51:11  Feature Importance                            complete  0.45749      0.45749       
submission_import_features.csv           2021-12-08 13:48:53  Feature Importance                            complete  0.45210      0.45210       
submission_import_features.csv           2021-12-08 13:44:55  Feature Importance                            complete  0.48275      0.48275       
submission_import_features.csv           2021-12-08 13:42:28  Feature Importance                            complete  0.45753      0.45753       
submission_import_features.csv           2021-12-08 13:39:01  Feature Importance                            complete  0.45939      0.45939       
submission_new_featuresV3.csv            2021-12-08 12:44:41  new features_AdvancedV3                       complete  0.45274      0.45274       
submission_new_features_Advanced_V1.csv  2021-12-08 12:20:43  new features Advanced V1                      complete  0.45810      0.45810       
submission_new_features_Advanced_V1.csv  2021-12-08 12:20:12  new features                                  complete  0.45810      0.45810       
submission_new_features_log.csv          2021-12-08 12:07:08  NF - Model 2  (Basic  Log Transform )         complete  0.50789      0.50789       
submission_new_features_log.csv          2021-12-08 12:06:06  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features_log.csv          2021-12-08 11:34:53  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features.csv              2021-12-08 11:24:55  NF - Model 1  (Basic  Time Catogricla data )  complete  0.50674      0.50674       
submission.csv                           2021-12-08 11:13:27  first raw submission                          complete  1.38952      1.38952       
submission_new_hpo.csv                   2021-12-08 11:06:33  new features with hyperparameters Tune        complete  0.48748      0.48748       
submission_new_hpo.csv                   2021-12-08 09:14:10  new features with hyperparameters Tune        complete  0.51858      0.51858       
submission_new_hpo_ensV4.csv             2021-12-07 15:02:09  new features with hyperparameters Vקרדןםמ 4   complete  0.48961      0.48961       
submission_new_hpo.csv                   2021-12-07 14:29:38  new features with hyperparameters Tune        complete  0.48338      0.48338       
submission_new_featuresV3.csv            2021-12-07 14:00:06  new featuresV3                                complete  0.45074      0.45074       
submission_new_featuresV2.csv            2021-12-07 13:39:45  new features                                  complete  0.50306      0.50306       
submission_new_features.csv              2021-12-07 13:09:48  new features                                  complete  0.51097      0.51097       
submission.csv                           2021-12-07 13:04:23  first raw submission                          complete  1.39309      1.39309       
submission_new_hpo.csv                   2021-12-07 11:12:13  new features with hyperparameters Tune        complete  0.45509      0.45509       
submission_new_featuresV3.csv            2021-12-07 10:53:43  new featuresV3                                complete  0.45057      0.45057       
submission_new_featuresV2.csv            2021-12-07 10:43:05  new features                                  complete  0.47595      0.47595       
submission_new_featuresV2.csv            2021-12-07 10:42:32  new features                                  error     None         None          
submission_new_features.csv              2021-12-07 10:32:26  new features                                  complete  0.50670      0.50670       
submission.csv                           2021-12-07 10:24:27  first raw submission                          complete  1.38989      1.38989       
submission_new_hpo.csv                   2021-12-07 09:08:34  new features with hyperparameters             complete  0.46172      0.46172       
submission_new_hpo.csv                   2021-12-07 08:59:07  new features with hyperparameters             complete  0.45760      0.45760       
submission_new_features.csv              2021-12-06 20:57:01  new features                                  complete  0.44755      0.44755       
submission_new_features.csv              2021-12-06 20:50:18  new features                                  complete  0.44577      0.44577       
submission_new_features.csv              2021-12-06 20:45:43  new features                                  complete  0.44592      0.44592       
submission_RMSLE.csv                     2021-12-06 17:57:57  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:46:31  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:25:04  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:13:44  Custome Eval Metric                           complete  0.46093      0.46093       
submission_new_hpo_ens.csv               2021-12-06 15:59:53  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv               2021-12-06 15:55:19  new features with hyperparameters             complete  0.47243      0.47243       
submission_new_hpo_ens.csv               2021-12-06 15:14:56  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv               2021-12-06 15:11:35  new features with hyperparameters             complete  0.47219      0.47219       
submission_new_hpo_ens.csv               2021-12-06 15:03:25  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv                   2021-12-06 15:02:29  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv                   2021-12-06 13:32:40  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv                   2021-12-06 12:22:42  new features with hyperparameters             complete  0.45943      0.45943       
submission_new_hpo.csv                   2021-12-06 12:19:40  new features with hyperparameters             complete  0.45999      0.45999       
submission_new_hpo.csv                   2021-12-06 11:38:43  new features with hyperparameters             complete  0.49236      0.49236       
submission_new_hpo.csv                   2021-12-06 11:23:09  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv                   2021-12-06 11:18:36  new features with hyperparameters             complete  0.44575      0.44575       
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,

Step 6: Hyper parameter optimization

  • There are many options for hyper parameter optimization.
  • Options are to change the AutoGluon higher level parameters or the individual model hyperparameters.
  • The hyperparameters of the models themselves that are in AutoGluon. Those need the hyperparameter and hyperparameter_tune_kwargs arguments.

Specifying hyperparameters and tuning them

Using the latest Features Set

In [169]:
time_limit = [2*60,3*60,4*60,5*60]
index=0
results = []
for item in time_limit:

 
    predictor_time_search = TabularPredictor(label="count",eval_metric='root_mean_squared_error').fit(
        train_data=df_features,
        time_limit=item,
        holdout_frac = 0.1,
        presets="best_quality"
    )
    
    results.append(predictor_time_search.leaderboard(df_features, silent=True))
   
No path specified. Models will be saved in: "AutogluonModels/ag-20211211_095329\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 120s
AutoGluon will save models to "AutogluonModels/ag-20211211_095329\"
AutoGluon Version:  0.3.1
Train Data Rows:    10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
	Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    4061.61 MB
	Train Data (Original)  Memory Usage: 1.72 MB (0.0% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting CategoryFeatureGenerator...
			Fitting CategoryMemoryMinimizeFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Types of features in original data (raw dtype, special dtypes):
		('category', []) :  6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
		('datetime', []) :  2 | ['datetime', 'date']
		('float', [])    : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])      :  1 | ['humidity']
	Types of features in processed data (raw dtype, special dtypes):
		('category', [])             :  5 | ['hour', 'weather', 'weekday', 'day', 'month']
		('float', [])                : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])                  :  1 | ['humidity']
		('int', ['bool'])            :  1 | ['workingday']
		('int', ['datetime_as_int']) :  2 | ['datetime', 'date']
	0.2s = Fit runtime
	25 features in original data used to generate 25 features in processed data.
	Train Data (Processed) Memory Usage: 1.72 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.28s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
	To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 79.79s of the 119.71s of remaining time.
	-48.4816	 = Validation score   (root_mean_squared_error)
	0.02s	 = Training   runtime
	4.33s	 = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 75.23s of the 115.15s of remaining time.
	-47.8773	 = Validation score   (root_mean_squared_error)
	0.02s	 = Training   runtime
	4.55s	 = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 70.45s of the 110.37s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 15.2782	valid_set's rmse: 31.8115
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-31.7488	 = Validation score   (root_mean_squared_error)
	13.0s	 = Training   runtime
	0.32s	 = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 56.57s of the 96.49s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 9.70754	valid_set's rmse: 31.1357
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-33.6714	 = Validation score   (root_mean_squared_error)
	14.44s	 = Training   runtime
	0.25s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 41.47s of the 81.39s of remaining time.
	-39.9508	 = Validation score   (root_mean_squared_error)
	10.83s	 = Training   runtime
	0.39s	 = Validation runtime
Fitting model: CatBoost_BAG_L1 ... Training model for up to 29.03s of the 68.95s of remaining time.
	-47.1592	 = Validation score   (root_mean_squared_error)
	27.81s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L1 ... Training model for up to 1.08s of the 41.0s of remaining time.
	-38.6335	 = Validation score   (root_mean_squared_error)
	3.53s	 = Training   runtime
	0.43s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 119.72s of the 35.64s of remaining time.
	-31.6009	 = Validation score   (root_mean_squared_error)
	0.48s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 35.14s of the 35.13s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-32.7157	 = Validation score   (root_mean_squared_error)
	9.0s	 = Training   runtime
	0.21s	 = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 25.73s of the 25.72s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-32.299	 = Validation score   (root_mean_squared_error)
	6.72s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 18.78s of the 18.77s of remaining time.
	-32.7225	 = Validation score   (root_mean_squared_error)
	16.75s	 = Training   runtime
	0.61s	 = Validation runtime
Fitting model: CatBoost_BAG_L2 ... Training model for up to 0.03s of the 0.01s of remaining time.
	Time limit exceeded... Skipping CatBoost_BAG_L2.
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 119.72s of the -0.11s of remaining time.
	-31.984	 = Validation score   (root_mean_squared_error)
	0.23s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 120.37s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211211_095329\")
No path specified. Models will be saved in: "AutogluonModels/ag-20211211_095547\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 180s
AutoGluon will save models to "AutogluonModels/ag-20211211_095547\"
AutoGluon Version:  0.3.1
Train Data Rows:    10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
	Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    3637.41 MB
	Train Data (Original)  Memory Usage: 1.72 MB (0.0% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting CategoryFeatureGenerator...
			Fitting CategoryMemoryMinimizeFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Types of features in original data (raw dtype, special dtypes):
		('category', []) :  6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
		('datetime', []) :  2 | ['datetime', 'date']
		('float', [])    : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])      :  1 | ['humidity']
	Types of features in processed data (raw dtype, special dtypes):
		('category', [])             :  5 | ['hour', 'weather', 'weekday', 'day', 'month']
		('float', [])                : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])                  :  1 | ['humidity']
		('int', ['bool'])            :  1 | ['workingday']
		('int', ['datetime_as_int']) :  2 | ['datetime', 'date']
	0.3s = Fit runtime
	25 features in original data used to generate 25 features in processed data.
	Train Data (Processed) Memory Usage: 1.72 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.32s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
	To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 119.75s of the 179.67s of remaining time.
	-48.4816	 = Validation score   (root_mean_squared_error)
	0.02s	 = Training   runtime
	4.88s	 = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 114.63s of the 174.55s of remaining time.
	-47.8773	 = Validation score   (root_mean_squared_error)
	0.02s	 = Training   runtime
	4.93s	 = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 109.47s of the 169.38s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 15.2782	valid_set's rmse: 31.8115
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-31.7488	 = Validation score   (root_mean_squared_error)
	15.79s	 = Training   runtime
	0.41s	 = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 92.59s of the 152.51s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 9.70754	valid_set's rmse: 31.1357
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-33.6714	 = Validation score   (root_mean_squared_error)
	13.67s	 = Training   runtime
	0.24s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 78.29s of the 138.21s of remaining time.
	-39.9508	 = Validation score   (root_mean_squared_error)
	11.31s	 = Training   runtime
	0.49s	 = Validation runtime
Fitting model: CatBoost_BAG_L1 ... Training model for up to 65.18s of the 125.1s of remaining time.
	Time limit exceeded... Skipping CatBoost_BAG_L1.
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 179.68s of the 59.7s of remaining time.
	-31.6009	 = Validation score   (root_mean_squared_error)
	0.34s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 59.34s of the 59.33s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-32.8287	 = Validation score   (root_mean_squared_error)
	9.82s	 = Training   runtime
	0.23s	 = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 49.04s of the 49.03s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-32.2957	 = Validation score   (root_mean_squared_error)
	8.02s	 = Training   runtime
	0.13s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 40.76s of the 40.75s of remaining time.
	-32.6416	 = Validation score   (root_mean_squared_error)
	16.83s	 = Training   runtime
	0.49s	 = Validation runtime
Fitting model: CatBoost_BAG_L2 ... Training model for up to 22.08s of the 22.07s of remaining time.
	-35.1461	 = Validation score   (root_mean_squared_error)
	21.39s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L2 ... Training model for up to 0.44s of the 0.43s of remaining time.
	-32.2071	 = Validation score   (root_mean_squared_error)
	4.34s	 = Training   runtime
	0.49s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 179.68s of the -5.81s of remaining time.
	-31.9063	 = Validation score   (root_mean_squared_error)
	0.3s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 186.14s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211211_095547\")
No path specified. Models will be saved in: "AutogluonModels/ag-20211211_095911\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 240s
AutoGluon will save models to "AutogluonModels/ag-20211211_095911\"
AutoGluon Version:  0.3.1
Train Data Rows:    10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
	Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    3785.26 MB
	Train Data (Original)  Memory Usage: 1.72 MB (0.0% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting CategoryFeatureGenerator...
			Fitting CategoryMemoryMinimizeFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Types of features in original data (raw dtype, special dtypes):
		('category', []) :  6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
		('datetime', []) :  2 | ['datetime', 'date']
		('float', [])    : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])      :  1 | ['humidity']
	Types of features in processed data (raw dtype, special dtypes):
		('category', [])             :  5 | ['hour', 'weather', 'weekday', 'day', 'month']
		('float', [])                : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])                  :  1 | ['humidity']
		('int', ['bool'])            :  1 | ['workingday']
		('int', ['datetime_as_int']) :  2 | ['datetime', 'date']
	0.2s = Fit runtime
	25 features in original data used to generate 25 features in processed data.
	Train Data (Processed) Memory Usage: 1.72 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.24s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
	To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 159.8s of the 239.75s of remaining time.
	-48.4816	 = Validation score   (root_mean_squared_error)
	0.02s	 = Training   runtime
	4.41s	 = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 155.17s of the 235.12s of remaining time.
	-47.8773	 = Validation score   (root_mean_squared_error)
	0.03s	 = Training   runtime
	4.76s	 = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 150.07s of the 230.02s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 15.2782	valid_set's rmse: 31.8115
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-31.7488	 = Validation score   (root_mean_squared_error)
	17.2s	 = Training   runtime
	0.39s	 = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 131.8s of the 211.75s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 9.70754	valid_set's rmse: 31.1357
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-33.6714	 = Validation score   (root_mean_squared_error)
	13.25s	 = Training   runtime
	0.24s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 117.94s of the 197.89s of remaining time.
	-39.9508	 = Validation score   (root_mean_squared_error)
	11.1s	 = Training   runtime
	0.4s	 = Validation runtime
Fitting model: CatBoost_BAG_L1 ... Training model for up to 105.18s of the 185.14s of remaining time.
	-36.214	 = Validation score   (root_mean_squared_error)
	103.59s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L1 ... Training model for up to 0.56s of the 80.51s of remaining time.
	-38.6335	 = Validation score   (root_mean_squared_error)
	3.18s	 = Training   runtime
	0.43s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 239.76s of the 75.62s of remaining time.
	-31.5916	 = Validation score   (root_mean_squared_error)
	0.39s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 75.21s of the 75.2s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-32.4178	 = Validation score   (root_mean_squared_error)
	9.81s	 = Training   runtime
	0.22s	 = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 64.95s of the 64.94s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-32.1581	 = Validation score   (root_mean_squared_error)
	7.18s	 = Training   runtime
	0.13s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 57.54s of the 57.53s of remaining time.
	-32.695	 = Validation score   (root_mean_squared_error)
	15.7s	 = Training   runtime
	0.58s	 = Validation runtime
Fitting model: CatBoost_BAG_L2 ... Training model for up to 40.08s of the 40.07s of remaining time.
	-32.8959	 = Validation score   (root_mean_squared_error)
	38.12s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L2 ... Training model for up to 1.32s of the 1.31s of remaining time.
	-31.9793	 = Validation score   (root_mean_squared_error)
	3.98s	 = Training   runtime
	0.49s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 239.76s of the -10.02s of remaining time.
	-31.7039	 = Validation score   (root_mean_squared_error)
	0.29s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 250.36s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211211_095911\")
No path specified. Models will be saved in: "AutogluonModels/ag-20211211_100339\"
Presets specified: ['best_quality']
Beginning AutoGluon training ... Time limit = 300s
AutoGluon will save models to "AutogluonModels/ag-20211211_100339\"
AutoGluon Version:  0.3.1
Train Data Rows:    10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
	Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    3691.32 MB
	Train Data (Original)  Memory Usage: 1.72 MB (0.0% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting CategoryFeatureGenerator...
			Fitting CategoryMemoryMinimizeFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Types of features in original data (raw dtype, special dtypes):
		('category', []) :  6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
		('datetime', []) :  2 | ['datetime', 'date']
		('float', [])    : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])      :  1 | ['humidity']
	Types of features in processed data (raw dtype, special dtypes):
		('category', [])             :  5 | ['hour', 'weather', 'weekday', 'day', 'month']
		('float', [])                : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])                  :  1 | ['humidity']
		('int', ['bool'])            :  1 | ['workingday']
		('int', ['datetime_as_int']) :  2 | ['datetime', 'date']
	0.2s = Fit runtime
	25 features in original data used to generate 25 features in processed data.
	Train Data (Processed) Memory Usage: 1.72 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.23s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
	To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Fitting model: KNeighborsUnif_BAG_L1 ... Training model for up to 199.79s of the 299.76s of remaining time.
	-48.4816	 = Validation score   (root_mean_squared_error)
	0.02s	 = Training   runtime
	4.27s	 = Validation runtime
Fitting model: KNeighborsDist_BAG_L1 ... Training model for up to 195.31s of the 295.28s of remaining time.
	-47.8773	 = Validation score   (root_mean_squared_error)
	0.02s	 = Training   runtime
	4.29s	 = Validation runtime
Fitting model: LightGBMXT_BAG_L1 ... Training model for up to 190.71s of the 290.68s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 15.2782	valid_set's rmse: 31.8115
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-31.7488	 = Validation score   (root_mean_squared_error)
	12.69s	 = Training   runtime
	0.34s	 = Validation runtime
Fitting model: LightGBM_BAG_L1 ... Training model for up to 176.97s of the 276.94s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 9.70754	valid_set's rmse: 31.1357
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-33.6714	 = Validation score   (root_mean_squared_error)
	13.33s	 = Training   runtime
	0.23s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L1 ... Training model for up to 163.01s of the 262.98s of remaining time.
	-39.9508	 = Validation score   (root_mean_squared_error)
	10.43s	 = Training   runtime
	0.43s	 = Validation runtime
Fitting model: CatBoost_BAG_L1 ... Training model for up to 150.94s of the 250.91s of remaining time.
	-34.7949	 = Validation score   (root_mean_squared_error)
	148.76s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L1 ... Training model for up to 1.96s of the 101.93s of remaining time.
	-38.6335	 = Validation score   (root_mean_squared_error)
	3.65s	 = Training   runtime
	0.49s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 299.77s of the 96.48s of remaining time.
	-31.5473	 = Validation score   (root_mean_squared_error)
	0.39s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 9 L2 models ...
Fitting model: LightGBMXT_BAG_L2 ... Training model for up to 96.08s of the 96.07s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-32.4382	 = Validation score   (root_mean_squared_error)
	7.5s	 = Training   runtime
	0.19s	 = Validation runtime
Fitting model: LightGBM_BAG_L2 ... Training model for up to 88.19s of the 88.18s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-32.0903	 = Validation score   (root_mean_squared_error)
	7.04s	 = Training   runtime
	0.13s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L2 ... Training model for up to 80.92s of the 80.91s of remaining time.
	-32.5589	 = Validation score   (root_mean_squared_error)
	15.12s	 = Training   runtime
	0.56s	 = Validation runtime
Fitting model: CatBoost_BAG_L2 ... Training model for up to 64.05s of the 64.04s of remaining time.
	-32.4022	 = Validation score   (root_mean_squared_error)
	63.56s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L2 ... Training model for up to 0.22s of the 0.21s of remaining time.
	-32.0169	 = Validation score   (root_mean_squared_error)
	3.98s	 = Training   runtime
	0.49s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 299.77s of the -5.77s of remaining time.
	-31.7004	 = Validation score   (root_mean_squared_error)
	0.3s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 306.1s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211211_100339\")
In [170]:
for x in range(3):
    print(results[x])
                     model    score_test  score_val  pred_time_test  \
0    KNeighborsDist_BAG_L1 -2.068240e-07 -47.877308        4.836791   
1     ExtraTreesMSE_BAG_L1 -1.424137e+01 -38.633465        0.619097   
2   RandomForestMSE_BAG_L1 -1.476350e+01 -39.950767        0.706671   
3        LightGBMXT_BAG_L2 -1.548739e+01 -32.715673       16.304163   
4      WeightedEnsemble_L3 -1.592625e+01 -31.984035       17.436274   
5   RandomForestMSE_BAG_L2 -1.639805e+01 -32.722494       15.651911   
6          LightGBM_BAG_L2 -1.726698e+01 -32.298959       15.467255   
7          LightGBM_BAG_L1 -1.760263e+01 -33.671413        1.818951   
8      WeightedEnsemble_L2 -1.860298e+01 -31.600890        9.146291   
9        LightGBMXT_BAG_L1 -1.939929e+01 -31.748761        2.480554   
10   KNeighborsUnif_BAG_L1 -3.893895e+01 -48.481624        4.361507   
11         CatBoost_BAG_L1 -4.474424e+01 -47.159236        0.173953   

    pred_time_val    fit_time  pred_time_test_marginal  \
0        4.547157    0.017988                 4.836791   
1        0.433752    3.530076                 0.619097   
2        0.390791   10.831395                 0.706671   
3       10.562694   78.645502                 1.306638   
4       11.293290  102.346343                 0.007995   
5       10.965483   86.396551                 0.654386   
6       10.477743   76.369836                 0.469729   
7        0.253854   14.436683                 1.818951   
8        5.118831   27.929887                 0.009995   
9        0.316820   12.998489                 2.480554   
10       4.325527    0.023987                 4.361507   
11       0.088913   27.807089                 0.173953   

    pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  \
0                 4.547157           0.017988            1       True   
1                 0.433752           3.530076            1       True   
2                 0.390791          10.831395            1       True   
3                 0.205879           8.999795            2       True   
4                 0.000999           0.225869            3       True   
5                 0.608669          16.750844            2       True   
6                 0.120928           6.724129            2       True   
7                 0.253854          14.436683            1       True   
8                 0.001000           0.476726            2       True   
9                 0.316820          12.998489            1       True   
10                4.325527           0.023987            1       True   
11                0.088913          27.807089            1       True   

    fit_order  
0           2  
1           7  
2           5  
3           9  
4          12  
5          11  
6          10  
7           4  
8           8  
9           3  
10          1  
11          6  
                     model    score_test  score_val  pred_time_test  \
0    KNeighborsDist_BAG_L1 -2.068240e-07 -47.877308        4.513487   
1   RandomForestMSE_BAG_L1 -1.476350e+01 -39.950767        0.759706   
2        LightGBMXT_BAG_L2 -1.554346e+01 -32.828651       15.969034   
3      WeightedEnsemble_L3 -1.627839e+01 -31.906257       17.666282   
4   RandomForestMSE_BAG_L2 -1.667871e+01 -32.641605       15.347082   
5     ExtraTreesMSE_BAG_L2 -1.698762e+01 -32.207127       15.390902   
6          LightGBM_BAG_L2 -1.742097e+01 -32.295674       15.161499   
7          LightGBM_BAG_L1 -1.760263e+01 -33.671413        1.763984   
8      WeightedEnsemble_L2 -1.860298e+01 -31.600890        8.878850   
9        LightGBMXT_BAG_L1 -1.939929e+01 -31.748761        2.594505   
10         CatBoost_BAG_L2 -2.146520e+01 -35.146128       14.906253   
11   KNeighborsUnif_BAG_L1 -3.893895e+01 -48.481624        5.105061   

    pred_time_val   fit_time  pred_time_test_marginal  pred_time_val_marginal  \
0        4.932617   0.019979                 4.513487                4.932617   
1        0.488718  11.308419                 0.759706                0.488718   
2       11.180018  50.632731                 1.232291                0.228870   
3       12.296392  80.121774                 0.007996                0.001000   
4       11.445863  57.646737                 0.610339                0.494716   
5       11.441885  45.150910                 0.654158                0.490737   
6       11.081070  48.836789                 0.424755                0.129922   
7        0.240861  13.674118                 1.763984                0.240861   
8        5.580241  29.820806                 0.006873                0.001000   
9        0.405763  15.789905                 2.594505                0.405763   
10      11.053090  62.200799                 0.169509                0.101942   
11       4.883188   0.022986                 5.105061                4.883188   

    fit_time_marginal  stack_level  can_infer  fit_order  
0            0.019979            1       True          2  
1           11.308419            1       True          5  
2            9.817325            2       True          7  
3            0.300826            3       True         12  
4           16.831331            2       True          9  
5            4.335504            2       True         11  
6            8.021383            2       True          8  
7           13.674118            1       True          4  
8            0.336804            2       True          6  
9           15.789905            1       True          3  
10          21.385392            2       True         10  
11           0.022986            1       True          1  
                     model    score_test  score_val  pred_time_test  \
0    KNeighborsDist_BAG_L1 -2.068240e-07 -47.877308        4.335899   
1     ExtraTreesMSE_BAG_L1 -1.424137e+01 -38.633465        0.641069   
2   RandomForestMSE_BAG_L1 -1.476350e+01 -39.950767        0.649731   
3        LightGBMXT_BAG_L2 -1.598340e+01 -32.417824       15.564713   
4      WeightedEnsemble_L3 -1.681246e+01 -31.703901       16.649247   
5   RandomForestMSE_BAG_L2 -1.701187e+01 -32.695044       14.977512   
6     ExtraTreesMSE_BAG_L2 -1.756622e+01 -31.979331       14.964303   
7          LightGBM_BAG_L1 -1.760263e+01 -33.671413        1.693025   
8          CatBoost_BAG_L2 -1.777008e+01 -32.895921       14.490366   
9          LightGBM_BAG_L2 -1.800741e+01 -32.158074       14.745185   
10     WeightedEnsemble_L2 -1.901976e+01 -31.591619        8.802482   
11       LightGBMXT_BAG_L1 -1.939929e+01 -31.748761        2.495561   
12         CatBoost_BAG_L1 -3.100732e+01 -36.213989        0.270181   
13   KNeighborsUnif_BAG_L1 -3.893895e+01 -48.481624        4.230965   

    pred_time_val    fit_time  pred_time_test_marginal  \
0        4.760259    0.025984                 4.335899   
1        0.429775    3.177173                 0.641069   
2        0.397770   11.095634                 0.649731   
3       10.937941  158.161819                 1.248281   
4       11.558583  169.613444                 0.007910   
5       11.295735  164.052448                 0.661080   
6       11.205789  152.325426                 0.647871   
7        0.235863   13.246117                 1.693025   
8       10.806980  186.469009                 0.173934   
9       10.841994  155.528358                 0.428753   
10       5.479951  134.451462                 0.007815   
11       0.387892   17.197382                 2.495561   
12       0.094939  103.588206                 0.270181   
13       4.407574    0.017992                 4.230965   

    pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  \
0                 4.760259           0.025984            1       True   
1                 0.429775           3.177173            1       True   
2                 0.397770          11.095634            1       True   
3                 0.223871           9.813329            2       True   
4                 0.000999           0.294821            3       True   
5                 0.581664          15.703958            2       True   
6                 0.491719           3.976936            2       True   
7                 0.235863          13.246117            1       True   
8                 0.092910          38.120519            2       True   
9                 0.127924           7.179868            2       True   
10                0.000999           0.393772            2       True   
11                0.387892          17.197382            1       True   
12                0.094939         103.588206            1       True   
13                4.407574           0.017992            1       True   

    fit_order  
0           2  
1           7  
2           5  
3           9  
4          14  
5          11  
6          13  
7           4  
8          12  
9          10  
10          8  
11          3  
12          6  
13          1  
In [171]:
results[2]
Out[171]:
model score_test score_val pred_time_test pred_time_val fit_time pred_time_test_marginal pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 KNeighborsDist_BAG_L1 -2.068240e-07 -47.877308 4.335899 4.760259 0.025984 4.335899 4.760259 0.025984 1 True 2
1 ExtraTreesMSE_BAG_L1 -1.424137e+01 -38.633465 0.641069 0.429775 3.177173 0.641069 0.429775 3.177173 1 True 7
2 RandomForestMSE_BAG_L1 -1.476350e+01 -39.950767 0.649731 0.397770 11.095634 0.649731 0.397770 11.095634 1 True 5
3 LightGBMXT_BAG_L2 -1.598340e+01 -32.417824 15.564713 10.937941 158.161819 1.248281 0.223871 9.813329 2 True 9
4 WeightedEnsemble_L3 -1.681246e+01 -31.703901 16.649247 11.558583 169.613444 0.007910 0.000999 0.294821 3 True 14
5 RandomForestMSE_BAG_L2 -1.701187e+01 -32.695044 14.977512 11.295735 164.052448 0.661080 0.581664 15.703958 2 True 11
6 ExtraTreesMSE_BAG_L2 -1.756622e+01 -31.979331 14.964303 11.205789 152.325426 0.647871 0.491719 3.976936 2 True 13
7 LightGBM_BAG_L1 -1.760263e+01 -33.671413 1.693025 0.235863 13.246117 1.693025 0.235863 13.246117 1 True 4
8 CatBoost_BAG_L2 -1.777008e+01 -32.895921 14.490366 10.806980 186.469009 0.173934 0.092910 38.120519 2 True 12
9 LightGBM_BAG_L2 -1.800741e+01 -32.158074 14.745185 10.841994 155.528358 0.428753 0.127924 7.179868 2 True 10
10 WeightedEnsemble_L2 -1.901976e+01 -31.591619 8.802482 5.479951 134.451462 0.007815 0.000999 0.393772 2 True 8
11 LightGBMXT_BAG_L1 -1.939929e+01 -31.748761 2.495561 0.387892 17.197382 2.495561 0.387892 17.197382 1 True 3
12 CatBoost_BAG_L1 -3.100732e+01 -36.213989 0.270181 0.094939 103.588206 0.270181 0.094939 103.588206 1 True 6
13 KNeighborsUnif_BAG_L1 -3.893895e+01 -48.481624 4.230965 4.407574 0.017992 4.230965 4.407574 0.017992 1 True 1
In [172]:
# Remember to set all negative values to zero
predictions_time_search_5min = predictor_time_search.predict(df_test)
predictions_time_search_5min[predictions_time_search_5min<0] = 0

# Same submitting predictions
submission_new_features = pd.read_csv('sampleSubmission.csv')
submission_new_features["count"] = predictions_time_search_5min
submission_new_features.to_csv("submission_time_search_5min.csv", index=False)
In [173]:
!kaggle competitions submit -c bike-sharing-demand -f submission_time_search_5min.csv -m "5 min train submit"
!kaggle competitions submissions -c bike-sharing-demand  
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,

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fileName                                 date                 description                                   status    publicScore  privateScore  
---------------------------------------  -------------------  --------------------------------------------  --------  -----------  ------------  
submission_time_search_5min.csv          2021-12-11 10:12:57  5 min train submit                            complete  0.44793      0.44793       
submission_submission_hp_v4.csv          2021-12-11 09:09:50  new hyperparameters V4                        complete  0.48757      0.48757       
submission_submission_hp_v4.csv          2021-12-11 08:52:06  new hyperparameters V4                        complete  0.48080      0.48080       
submission.csv                           2021-12-11 08:34:12  first raw submission                          complete  1.40041      1.40041       
submission_submission_hp_v4.csv          2021-12-10 18:11:50  new hyperparameters V4                        complete  0.45257      0.45257       
submission_submission_hp_v4.csv          2021-12-10 16:42:13  new hyperparameters V4                        complete  0.46035      0.46035       
submission_submission_RMSLE.csv          2021-12-10 14:44:00  Custome Eval Metric                           complete  0.45892      0.45892       
submission_submission_hypov2.csv         2021-12-10 14:23:31  new features with hyperparameters V2          complete  0.45490      0.45490       
submission_submission_hypov2.csv         2021-12-10 13:57:06  new features with hyperparameters V2          complete  0.57647      0.57647       
submission_submission_hypo.csv           2021-12-10 10:07:22  new features with hyperparameters             complete  0.45563      0.45563       
submission_time_search_5min.csv          2021-12-10 09:23:07  5 min train submit                            complete  0.44797      0.44797       
submission_import_features.csv           2021-12-08 13:55:39  Feature Importance                            complete  0.45194      0.45194       
submission_import_features.csv           2021-12-08 13:53:11  Feature Importance                            complete  0.45414      0.45414       
submission_import_features.csv           2021-12-08 13:51:11  Feature Importance                            complete  0.45749      0.45749       
submission_import_features.csv           2021-12-08 13:48:53  Feature Importance                            complete  0.45210      0.45210       
submission_import_features.csv           2021-12-08 13:44:55  Feature Importance                            complete  0.48275      0.48275       
submission_import_features.csv           2021-12-08 13:42:28  Feature Importance                            complete  0.45753      0.45753       
submission_import_features.csv           2021-12-08 13:39:01  Feature Importance                            complete  0.45939      0.45939       
submission_new_featuresV3.csv            2021-12-08 12:44:41  new features_AdvancedV3                       complete  0.45274      0.45274       
submission_new_features_Advanced_V1.csv  2021-12-08 12:20:43  new features Advanced V1                      complete  0.45810      0.45810       
submission_new_features_Advanced_V1.csv  2021-12-08 12:20:12  new features                                  complete  0.45810      0.45810       
submission_new_features_log.csv          2021-12-08 12:07:08  NF - Model 2  (Basic  Log Transform )         complete  0.50789      0.50789       
submission_new_features_log.csv          2021-12-08 12:06:06  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features_log.csv          2021-12-08 11:34:53  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features.csv              2021-12-08 11:24:55  NF - Model 1  (Basic  Time Catogricla data )  complete  0.50674      0.50674       
submission.csv                           2021-12-08 11:13:27  first raw submission                          complete  1.38952      1.38952       
submission_new_hpo.csv                   2021-12-08 11:06:33  new features with hyperparameters Tune        complete  0.48748      0.48748       
submission_new_hpo.csv                   2021-12-08 09:14:10  new features with hyperparameters Tune        complete  0.51858      0.51858       
submission_new_hpo_ensV4.csv             2021-12-07 15:02:09  new features with hyperparameters Vקרדןםמ 4   complete  0.48961      0.48961       
submission_new_hpo.csv                   2021-12-07 14:29:38  new features with hyperparameters Tune        complete  0.48338      0.48338       
submission_new_featuresV3.csv            2021-12-07 14:00:06  new featuresV3                                complete  0.45074      0.45074       
submission_new_featuresV2.csv            2021-12-07 13:39:45  new features                                  complete  0.50306      0.50306       
submission_new_features.csv              2021-12-07 13:09:48  new features                                  complete  0.51097      0.51097       
submission.csv                           2021-12-07 13:04:23  first raw submission                          complete  1.39309      1.39309       
submission_new_hpo.csv                   2021-12-07 11:12:13  new features with hyperparameters Tune        complete  0.45509      0.45509       
submission_new_featuresV3.csv            2021-12-07 10:53:43  new featuresV3                                complete  0.45057      0.45057       
submission_new_featuresV2.csv            2021-12-07 10:43:05  new features                                  complete  0.47595      0.47595       
submission_new_featuresV2.csv            2021-12-07 10:42:32  new features                                  error     None         None          
submission_new_features.csv              2021-12-07 10:32:26  new features                                  complete  0.50670      0.50670       
submission.csv                           2021-12-07 10:24:27  first raw submission                          complete  1.38989      1.38989       
submission_new_hpo.csv                   2021-12-07 09:08:34  new features with hyperparameters             complete  0.46172      0.46172       
submission_new_hpo.csv                   2021-12-07 08:59:07  new features with hyperparameters             complete  0.45760      0.45760       
submission_new_features.csv              2021-12-06 20:57:01  new features                                  complete  0.44755      0.44755       
submission_new_features.csv              2021-12-06 20:50:18  new features                                  complete  0.44577      0.44577       
submission_new_features.csv              2021-12-06 20:45:43  new features                                  complete  0.44592      0.44592       
submission_RMSLE.csv                     2021-12-06 17:57:57  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:46:31  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:25:04  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:13:44  Custome Eval Metric                           complete  0.46093      0.46093       
submission_new_hpo_ens.csv               2021-12-06 15:59:53  new features with hyperparameters             complete  0.44685      0.44685       
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,

New Score of : 0.44793

In [ ]:
## 6A - More Paramters tuning 
In [108]:
import autogluon.core as ag
 
nn_options = {  # specifies non-default hyperparameter values for neural network models
    'num_epochs': 10,  # number of training epochs (controls training time of NN models)
    'learning_rate': ag.space.Real(1e-4, 1e-2, default=5e-4, log=True),  # learning rate used in training (real-valued hyperparameter searched on log-scale)
    'activation': ag.space.Categorical('relu', 'softrelu', 'tanh'),  # activation function used in NN (categorical hyperparameter, default = first entry)
    'layers': ag.space.Categorical([100], [1000], [200, 100], [300, 200, 100]),  # each choice for categorical hyperparameter 'layers' corresponds to list of sizes for each NN layer to use
    'dropout_prob': ag.space.Real(0.0, 0.5, default=0.1),  # dropout probability (real-valued hyperparameter)
}

gbm_options = {  # specifies non-default hyperparameter values for lightGBM gradient boosted trees
    'num_boost_round': 10000,  # number of boosting rounds (controls training time of GBM models)
    #'num_leaves': ag.space.Int(lower=26, upper=66, default=36),  # number of leaves in trees (integer hyperparameter)
}


time_limit = 15*60  # train various models for ~2 min
num_trials = 5  # try at most 5 different hyperparameter configurations for each type of model
search_strategy = 'auto'  # to tune hyperparameters using Bayesian optimization routine with a local scheduler

hyperparameter_tune = {  # HPO is not performed unless hyperparameter_tune_kwargs is specified
    'num_trials': num_trials,
    'scheduler' : 'local',
    'searcher': search_strategy,
}



predictor_new_hpo_v2 = TabularPredictor(label='count', eval_metric='root_mean_squared_error').fit(
    train_data=df_features,   time_limit=time_limit,    
    
     
       
    
    
    hyperparameter_tune_kwargs = hyperparameter_tune,
     presets="best_quality"
     
    
    
    
)
 
No path specified. Models will be saved in: "AutogluonModels/ag-20211210_140936\"
Presets specified: ['best_quality']
Warning: hyperparameter tuning is currently experimental and may cause the process to hang.
Beginning AutoGluon training ... Time limit = 900s
AutoGluon will save models to "AutogluonModels/ag-20211210_140936\"
AutoGluon Version:  0.3.1
Train Data Rows:    10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
	Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    1829.94 MB
	Train Data (Original)  Memory Usage: 1.72 MB (0.1% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting CategoryFeatureGenerator...
			Fitting CategoryMemoryMinimizeFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Types of features in original data (raw dtype, special dtypes):
		('category', []) :  6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
		('datetime', []) :  2 | ['datetime', 'date']
		('float', [])    : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])      :  1 | ['humidity']
	Types of features in processed data (raw dtype, special dtypes):
		('category', [])             :  5 | ['hour', 'weather', 'weekday', 'day', 'month']
		('float', [])                : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])                  :  1 | ['humidity']
		('int', ['bool'])            :  1 | ['workingday']
		('int', ['datetime_as_int']) :  2 | ['datetime', 'date']
	0.4s = Fit runtime
	25 features in original data used to generate 25 features in processed data.
	Train Data (Processed) Memory Usage: 1.72 MB (0.1% of available memory)
Data preprocessing and feature engineering runtime = 0.46s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
	To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Hyperparameter tuning model: KNeighborsUnif_BAG_L1 ...
Fitted model: KNeighborsUnif_BAG_L1\T0 ...
	-48.4816	 = Validation score   (root_mean_squared_error)
	0.02s	 = Training   runtime
	9.44s	 = Validation runtime
Hyperparameter tuning model: KNeighborsDist_BAG_L1 ...
Fitted model: KNeighborsDist_BAG_L1\T0 ...
	-47.8773	 = Validation score   (root_mean_squared_error)
	0.02s	 = Training   runtime
	10.03s	 = Validation runtime
Hyperparameter tuning model: LightGBMXT_BAG_L1 ...
Warning: Exception caused LightGBMXT_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x0000029783522240>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: LightGBM_BAG_L1 ...
Warning: Exception caused LightGBM_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x0000029743B08048>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: RandomForestMSE_BAG_L1 ...
Fitted model: RandomForestMSE_BAG_L1\T0 ...
	-39.9508	 = Validation score   (root_mean_squared_error)
	19.22s	 = Training   runtime
	0.92s	 = Validation runtime
Hyperparameter tuning model: CatBoost_BAG_L1 ...
Warning: Exception caused CatBoost_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x00000297446C3B70>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: ExtraTreesMSE_BAG_L1 ...
Fitted model: ExtraTreesMSE_BAG_L1\T0 ...
	-38.6335	 = Validation score   (root_mean_squared_error)
	5.98s	 = Training   runtime
	1.0s	 = Validation runtime
Hyperparameter tuning model: NeuralNetFastAI_BAG_L1 ...
	Ran out of time, stopping training early. (Stopping on epoch 3)
Fitted model: NeuralNetFastAI_BAG_L1\T0 ...
	-47.6783	 = Validation score   (root_mean_squared_error)
	3.65s	 = Training   runtime
	0.06s	 = Validation runtime
Hyperparameter tuning model: XGBoost_BAG_L1 ...
Warning: Exception caused XGBoost_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002977FE98550>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: NeuralNetMXNet_BAG_L1 ...
Warning: Exception caused NeuralNetMXNet_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\tabular_nn\tabular_nn_model.py", line 749, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002977FF21A20>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Fitting model: LightGBMLarge_BAG_L1 ... Training model for up to 4.91s of the 817.7s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Ran out of time, early stopping on iteration 164. Best iteration is:
	[164]	train_set's rmse: 16.0395	valid_set's rmse: 35.0758
	-35.0758	 = Validation score   (root_mean_squared_error)
	4.1s	 = Training   runtime
	0.04s	 = Validation runtime
Fitting model: KNeighborsUnif_BAG_L1\T0 ... Training model for up to 513.4s of the 813.39s of remaining time.
	-48.4816	 = Validation score   (root_mean_squared_error)
	0.02s	 = Training   runtime
	9.44s	 = Validation runtime
Fitting model: KNeighborsDist_BAG_L1\T0 ... Training model for up to 513.37s of the 813.36s of remaining time.
	-47.8773	 = Validation score   (root_mean_squared_error)
	0.02s	 = Training   runtime
	10.03s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L1\T0 ... Training model for up to 513.35s of the 813.34s of remaining time.
	-39.9508	 = Validation score   (root_mean_squared_error)
	19.22s	 = Training   runtime
	0.92s	 = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L1\T0 ... Training model for up to 513.32s of the 813.3s of remaining time.
	-38.6335	 = Validation score   (root_mean_squared_error)
	5.98s	 = Training   runtime
	1.0s	 = Validation runtime
Fitting model: NeuralNetFastAI_BAG_L1\T0 ... Training model for up to 513.29s of the 813.27s of remaining time.
	-32.8541	 = Validation score   (root_mean_squared_error)
	243.52s	 = Training   runtime
	0.79s	 = Validation runtime
Fitting model: LightGBMLarge_BAG_L1 ... Training model for up to 272.3s of the 572.28s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 2.32004	valid_set's rmse: 32.4143
	Ran out of time, early stopping on iteration 1480. Best iteration is:
	[1282]	train_set's rmse: 1.35623	valid_set's rmse: 32.3944
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 2.31283	valid_set's rmse: 34.4461
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[1000]	train_set's rmse: 2.39631	valid_set's rmse: 35.0219
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-35.2255	 = Validation score   (root_mean_squared_error)
	134.37s	 = Training   runtime
	0.79s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 360.0s of the 438.05s of remaining time.
	-31.629	 = Validation score   (root_mean_squared_error)
	0.39s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 9 L2 models ...
Hyperparameter tuning model: LightGBMXT_BAG_L2 ...
Warning: Exception caused LightGBMXT_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002977FF214A8>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: LightGBM_BAG_L2 ...
Warning: Exception caused LightGBM_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002977FF21710>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: RandomForestMSE_BAG_L2 ...
Fitted model: RandomForestMSE_BAG_L2\T0 ...
	-32.5832	 = Validation score   (root_mean_squared_error)
	17.54s	 = Training   runtime
	0.95s	 = Validation runtime
Hyperparameter tuning model: CatBoost_BAG_L2 ...
Warning: Exception caused CatBoost_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002977FEA0518>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: ExtraTreesMSE_BAG_L2 ...
Fitted model: ExtraTreesMSE_BAG_L2\T0 ...
	-32.0732	 = Validation score   (root_mean_squared_error)
	5.69s	 = Training   runtime
	0.95s	 = Validation runtime
Hyperparameter tuning model: NeuralNetFastAI_BAG_L2 ...
	Ran out of time, stopping training early. (Stopping on epoch 4)
Fitted model: NeuralNetFastAI_BAG_L2\T0 ...
	-36.1323	 = Validation score   (root_mean_squared_error)
	3.45s	 = Training   runtime
	0.05s	 = Validation runtime
Hyperparameter tuning model: XGBoost_BAG_L2 ...
Warning: Exception caused XGBoost_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x0000029783467C50>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: NeuralNetMXNet_BAG_L2 ...
Warning: Exception caused NeuralNetMXNet_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\tabular_nn\tabular_nn_model.py", line 749, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x0000029746A417B8>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Fitting model: LightGBMLarge_BAG_L2 ... Training model for up to 4.38s of the 398.79s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-33.9671	 = Validation score   (root_mean_squared_error)
	3.51s	 = Training   runtime
	0.02s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L2\T0 ... Training model for up to 395.17s of the 395.16s of remaining time.
	-32.5832	 = Validation score   (root_mean_squared_error)
	17.54s	 = Training   runtime
	0.95s	 = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L2\T0 ... Training model for up to 395.14s of the 395.13s of remaining time.
	-32.0732	 = Validation score   (root_mean_squared_error)
	5.69s	 = Training   runtime
	0.95s	 = Validation runtime
Fitting model: NeuralNetFastAI_BAG_L2\T0 ... Training model for up to 395.11s of the 395.1s of remaining time.
	-32.452	 = Validation score   (root_mean_squared_error)
	147.41s	 = Training   runtime
	0.5s	 = Validation runtime
Fitting model: LightGBMLarge_BAG_L2 ... Training model for up to 250.43s of the 250.42s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-33.0195	 = Validation score   (root_mean_squared_error)
	28.02s	 = Training   runtime
	0.2s	 = Validation runtime
Completed 1/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 360.0s of the 225.21s of remaining time.
	-31.5865	 = Validation score   (root_mean_squared_error)
	0.33s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 675.16s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211210_140936\")
In [109]:
predictor_new_hpo_v2.leaderboard(df_features, silent=True)
Out[109]:
model score_test score_val pred_time_test pred_time_val fit_time pred_time_test_marginal pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 KNeighborsDist_BAG_L1\T0 -2.068240e-07 -47.877308 4.871578 10.032989 0.018990 4.871578 10.032989 0.018990 1 True 2
1 LightGBMLarge_BAG_L1 -8.014737e+00 -35.225451 4.323074 0.792816 134.373873 4.323074 0.792816 134.373873 1 True 6
2 ExtraTreesMSE_BAG_L1\T0 -1.424137e+01 -38.633465 1.109482 0.995581 5.977026 1.109482 0.995581 5.977026 1 True 4
3 LightGBMLarge_BAG_L2 -1.433855e+01 -33.019492 20.289999 23.174163 431.150962 1.347229 0.197875 28.024499 2 True 11
4 RandomForestMSE_BAG_L1\T0 -1.476350e+01 -39.950767 1.041012 0.922008 19.216448 1.041012 0.922008 19.216448 1 True 3
5 WeightedEnsemble_L3 -1.537694e+01 -31.586497 25.311931 25.573819 602.117391 0.010432 0.000000 0.325811 3 True 12
6 ExtraTreesMSE_BAG_L2\T0 -1.578517e+01 -32.073201 19.988609 23.927739 408.816188 1.045839 0.951452 5.689725 2 True 9
7 RandomForestMSE_BAG_L2\T0 -1.579074e+01 -32.583210 19.961134 23.924740 420.671361 1.018364 0.948453 17.544898 2 True 8
8 NeuralNetFastAI_BAG_L2\T0 -1.658940e+01 -32.452041 21.890068 23.476038 550.532458 2.947298 0.499751 147.405995 2 True 10
9 WeightedEnsemble_L2 -1.779631e+01 -31.629045 11.696228 11.617661 378.296793 0.011012 0.000980 0.388791 2 True 7
10 NeuralNetFastAI_BAG_L1\T0 -2.423508e+01 -32.854140 2.490565 0.790876 243.515140 2.490565 0.790876 243.515140 1 True 5
11 KNeighborsUnif_BAG_L1\T0 -3.893895e+01 -48.481624 5.107059 9.442017 0.024986 5.107059 9.442017 0.024986 1 True 1
In [110]:
# Remember to set all negative values to zero
predictor_hpo_v2 = predictor_new_hpo_v2.predict(df_test)
predictor_hpo_v2[predictor_hpo_v2<0] = 0

# Same submitting predictions
submission_hypo = pd.read_csv('sampleSubmission.csv')
submission_hypo["count"] = predictor_hpo_v2
submission_hypo.to_csv("submission_submission_hypov2.csv", index=False)
In [111]:
!kaggle competitions submit -c bike-sharing-demand -f submission_submission_hypov2.csv -m "new features with hyperparameters V2  "
!kaggle competitions submissions -c bike-sharing-demand  
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,

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fileName                                 date                 description                                   status    publicScore  privateScore  
---------------------------------------  -------------------  --------------------------------------------  --------  -----------  ------------  
submission_submission_hypov2.csv         2021-12-10 14:23:31  new features with hyperparameters V2          complete  0.45490      0.45490       
submission_submission_hypov2.csv         2021-12-10 13:57:06  new features with hyperparameters V2          complete  0.57647      0.57647       
submission_submission_hypo.csv           2021-12-10 10:07:22  new features with hyperparameters             complete  0.45563      0.45563       
submission_time_search_5min.csv          2021-12-10 09:23:07  5 min train submit                            complete  0.44797      0.44797       
submission_import_features.csv           2021-12-08 13:55:39  Feature Importance                            complete  0.45194      0.45194       
submission_import_features.csv           2021-12-08 13:53:11  Feature Importance                            complete  0.45414      0.45414       
submission_import_features.csv           2021-12-08 13:51:11  Feature Importance                            complete  0.45749      0.45749       
submission_import_features.csv           2021-12-08 13:48:53  Feature Importance                            complete  0.45210      0.45210       
submission_import_features.csv           2021-12-08 13:44:55  Feature Importance                            complete  0.48275      0.48275       
submission_import_features.csv           2021-12-08 13:42:28  Feature Importance                            complete  0.45753      0.45753       
submission_import_features.csv           2021-12-08 13:39:01  Feature Importance                            complete  0.45939      0.45939       
submission_new_featuresV3.csv            2021-12-08 12:44:41  new features_AdvancedV3                       complete  0.45274      0.45274       
submission_new_features_Advanced_V1.csv  2021-12-08 12:20:43  new features Advanced V1                      complete  0.45810      0.45810       
submission_new_features_Advanced_V1.csv  2021-12-08 12:20:12  new features                                  complete  0.45810      0.45810       
submission_new_features_log.csv          2021-12-08 12:07:08  NF - Model 2  (Basic  Log Transform )         complete  0.50789      0.50789       
submission_new_features_log.csv          2021-12-08 12:06:06  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features_log.csv          2021-12-08 11:34:53  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features.csv              2021-12-08 11:24:55  NF - Model 1  (Basic  Time Catogricla data )  complete  0.50674      0.50674       
submission.csv                           2021-12-08 11:13:27  first raw submission                          complete  1.38952      1.38952       
submission_new_hpo.csv                   2021-12-08 11:06:33  new features with hyperparameters Tune        complete  0.48748      0.48748       
submission_new_hpo.csv                   2021-12-08 09:14:10  new features with hyperparameters Tune        complete  0.51858      0.51858       
submission_new_hpo_ensV4.csv             2021-12-07 15:02:09  new features with hyperparameters Vקרדןםמ 4   complete  0.48961      0.48961       
submission_new_hpo.csv                   2021-12-07 14:29:38  new features with hyperparameters Tune        complete  0.48338      0.48338       
submission_new_featuresV3.csv            2021-12-07 14:00:06  new featuresV3                                complete  0.45074      0.45074       
submission_new_featuresV2.csv            2021-12-07 13:39:45  new features                                  complete  0.50306      0.50306       
submission_new_features.csv              2021-12-07 13:09:48  new features                                  complete  0.51097      0.51097       
submission.csv                           2021-12-07 13:04:23  first raw submission                          complete  1.39309      1.39309       
submission_new_hpo.csv                   2021-12-07 11:12:13  new features with hyperparameters Tune        complete  0.45509      0.45509       
submission_new_featuresV3.csv            2021-12-07 10:53:43  new featuresV3                                complete  0.45057      0.45057       
submission_new_featuresV2.csv            2021-12-07 10:43:05  new features                                  complete  0.47595      0.47595       
submission_new_featuresV2.csv            2021-12-07 10:42:32  new features                                  error     None         None          
submission_new_features.csv              2021-12-07 10:32:26  new features                                  complete  0.50670      0.50670       
submission.csv                           2021-12-07 10:24:27  first raw submission                          complete  1.38989      1.38989       
submission_new_hpo.csv                   2021-12-07 09:08:34  new features with hyperparameters             complete  0.46172      0.46172       
submission_new_hpo.csv                   2021-12-07 08:59:07  new features with hyperparameters             complete  0.45760      0.45760       
submission_new_features.csv              2021-12-06 20:57:01  new features                                  complete  0.44755      0.44755       
submission_new_features.csv              2021-12-06 20:50:18  new features                                  complete  0.44577      0.44577       
submission_new_features.csv              2021-12-06 20:45:43  new features                                  complete  0.44592      0.44592       
submission_RMSLE.csv                     2021-12-06 17:57:57  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:46:31  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:25:04  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:13:44  Custome Eval Metric                           complete  0.46093      0.46093       
submission_new_hpo_ens.csv               2021-12-06 15:59:53  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv               2021-12-06 15:55:19  new features with hyperparameters             complete  0.47243      0.47243       
submission_new_hpo_ens.csv               2021-12-06 15:14:56  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv               2021-12-06 15:11:35  new features with hyperparameters             complete  0.47219      0.47219       
submission_new_hpo_ens.csv               2021-12-06 15:03:25  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv                   2021-12-06 15:02:29  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv                   2021-12-06 13:32:40  new features with hyperparameters             complete  0.44575      0.44575       
submission_new_hpo.csv                   2021-12-06 12:22:42  new features with hyperparameters             complete  0.45943      0.45943       
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,
In [113]:
import sklearn.metrics
from autogluon.core.metrics import make_scorer
ag_mean_squared_log_error_scorer = make_scorer(name='mean_squared_log_error',
                                           score_func=sklearn.metrics.mean_squared_log_error,
                                           optimum=0,
                                           greater_is_better=False)
In [118]:
 
time_limit = 20*60  # train various models for ~6 min
num_trials = 150  # try at most 5 different hyperparameter configurations for each type of model
search_strategy = 'auto'  # to tune hyperparameters using Bayesian optimization routine with a local scheduler


hyperparameter_tune_kwargs = {  # HPO is not performed unless hyperparameter_tune_kwargs is specified
    'num_trials': num_trials,
    'scheduler' : 'local',
    'searcher': search_strategy,
}

predictor_RMSLE = TabularPredictor(label="count",eval_metric=ag_mean_squared_log_error_scorer).fit(
    train_data=df_features,
    time_limit=time_limit,
    presets="best_quality",
     
    hyperparameter_tune_kwargs=hyperparameter_tune_kwargs,
    #num_bag_folds=3, num_bag_sets=2, num_stack_levels=1 
)
 
No path specified. Models will be saved in: "AutogluonModels/ag-20211210_143954\"
Presets specified: ['best_quality']
Warning: hyperparameter tuning is currently experimental and may cause the process to hang.
Beginning AutoGluon training ... Time limit = 1200s
AutoGluon will save models to "AutogluonModels/ag-20211210_143954\"
AutoGluon Version:  0.3.1
Train Data Rows:    10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
	Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    2883.83 MB
	Train Data (Original)  Memory Usage: 1.72 MB (0.1% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting CategoryFeatureGenerator...
			Fitting CategoryMemoryMinimizeFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Types of features in original data (raw dtype, special dtypes):
		('category', []) :  6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
		('datetime', []) :  2 | ['datetime', 'date']
		('float', [])    : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])      :  1 | ['humidity']
	Types of features in processed data (raw dtype, special dtypes):
		('category', [])             :  5 | ['hour', 'weather', 'weekday', 'day', 'month']
		('float', [])                : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])                  :  1 | ['humidity']
		('int', ['bool'])            :  1 | ['workingday']
		('int', ['datetime_as_int']) :  2 | ['datetime', 'date']
	0.2s = Fit runtime
	25 features in original data used to generate 25 features in processed data.
	Train Data (Processed) Memory Usage: 1.72 MB (0.1% of available memory)
Data preprocessing and feature engineering runtime = 0.29s ...
AutoGluon will gauge predictive performance using evaluation metric: 'mean_squared_log_error'
	To change this, specify the eval_metric argument of fit()
AutoGluon will fit 2 stack levels (L1 to L2) ...
Fitting 11 L1 models ...
Hyperparameter tuning model: KNeighborsUnif_BAG_L1 ...
Fitted model: KNeighborsUnif_BAG_L1\T0 ...
	-0.1282	 = Validation score   (mean_squared_log_error)
	0.01s	 = Training   runtime
	4.55s	 = Validation runtime
Hyperparameter tuning model: KNeighborsDist_BAG_L1 ...
Fitted model: KNeighborsDist_BAG_L1\T0 ...
	-0.1254	 = Validation score   (mean_squared_log_error)
	0.01s	 = Training   runtime
	4.57s	 = Validation runtime
Hyperparameter tuning model: LightGBMXT_BAG_L1 ...
Warning: Exception caused LightGBMXT_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002977FEFDA20>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: LightGBM_BAG_L1 ...
Warning: Exception caused LightGBM_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x00000297800215F8>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: RandomForestMSE_BAG_L1 ...
Fitted model: RandomForestMSE_BAG_L1\T0 ...
	-0.0881	 = Validation score   (mean_squared_log_error)
	12.57s	 = Training   runtime
	0.57s	 = Validation runtime
Hyperparameter tuning model: CatBoost_BAG_L1 ...
Warning: Exception caused CatBoost_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x0000029780012710>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: ExtraTreesMSE_BAG_L1 ...
Fitted model: ExtraTreesMSE_BAG_L1\T0 ...
	-0.0862	 = Validation score   (mean_squared_log_error)
	3.89s	 = Training   runtime
	0.64s	 = Validation runtime
Hyperparameter tuning model: NeuralNetFastAI_BAG_L1 ...
Metric mean_squared_log_error is not supported by this model - using mean_squared_error instead
	Ran out of time, stopping training early. (Stopping on epoch 8)
Warning: Exception caused NeuralNetFastAI_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\fastainn\tabular_nn_fastai.py", line 394, in _hyperparameter_tune
    return skip_hpo(self, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\model_trial.py", line 98, in skip_hpo
    fit_and_save_model(model=model, params=dict(), fit_args=fit_model_args, predict_proba_args=predict_proba_args, y_val=y_val, time_start=time.time(), time_limit=time_limit)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\model_trial.py", line 86, in fit_and_save_model
    model.val_score = model.score_with_y_pred_proba(y=y_val, y_pred_proba=y_pred_proba, sample_weight=sample_weight_val)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 635, in score_with_y_pred_proba
    return compute_weighted_metric(y, y_pred, metric, sample_weight, quantile_levels=self.quantile_levels)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\utils\utils.py", line 568, in compute_weighted_metric
    return metric(y, y_pred, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\metrics\__init__.py", line 128, in __call__
    **self._kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\sklearn\utils\validation.py", line 63, in inner_f
    return f(*args, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\sklearn\metrics\_regression.py", line 413, in mean_squared_log_error
    raise ValueError("Mean Squared Logarithmic Error cannot be used when "
ValueError: Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Hyperparameter tuning model: XGBoost_BAG_L1 ...
Warning: Exception caused XGBoost_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x0000029783591908>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: NeuralNetMXNet_BAG_L1 ...
Warning: Exception caused NeuralNetMXNet_BAG_L1 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\tabular_nn\tabular_nn_model.py", line 749, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002978358B7F0>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Fitting model: LightGBMLarge_BAG_L1 ... Training model for up to 6.54s of the 1141.84s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Warning: Exception caused LightGBMLarge_BAG_L1 to fail during training... Skipping this model.
		Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Detailed Traceback:
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 962, in _train_and_save
    model = self._train_single(X, y, model, X_val, y_val, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 934, in _train_single
    model = model.fit(X=X, y=y, X_val=X_val, y_val=y_val, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 522, in fit
    out = self._fit(**kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 153, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 189, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 388, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\fold_fitting_strategy.py", line 59, in after_all_folds_scheduled
    self._fit_fold_model(*job)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\fold_fitting_strategy.py", line 64, in _fit_fold_model
    fold_model = self._fit(model_base, time_start_fold, time_limit_fold, fold_ctx, kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\fold_fitting_strategy.py", line 111, in _fit
    fold_model.fit(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, time_limit=time_limit_fold, **kwargs_fold)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 522, in fit
    out = self._fit(**kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 182, in _fit
    self.model = lgb.train(**train_params)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py", line 299, in train
    evaluation_result_list.extend(booster.eval_valid(feval))
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\basic.py", line 3271, in eval_valid
    return [item for i in range(1, self.__num_dataset)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\basic.py", line 3272, in <listcomp>
    for item in self.__inner_eval(self.name_valid_sets[i - 1], i, feval)]
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\basic.py", line 3809, in __inner_eval
    feval_ret = eval_function(self.__inner_predict(data_idx), cur_data)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_utils.py", line 62, in function_template
    return metric.name, metric(y_true, y_hat), is_higher_better
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\metrics\__init__.py", line 128, in __call__
    **self._kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\sklearn\utils\validation.py", line 63, in inner_f
    return f(*args, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\sklearn\metrics\_regression.py", line 413, in mean_squared_log_error
    raise ValueError("Mean Squared Logarithmic Error cannot be used when "
ValueError: Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Fitting model: KNeighborsUnif_BAG_L1\T0 ... Training model for up to 738.84s of the 1138.94s of remaining time.
	-0.1282	 = Validation score   (mean_squared_log_error)
	0.01s	 = Training   runtime
	4.55s	 = Validation runtime
Fitting model: KNeighborsDist_BAG_L1\T0 ... Training model for up to 738.82s of the 1138.92s of remaining time.
	-0.1254	 = Validation score   (mean_squared_log_error)
	0.01s	 = Training   runtime
	4.57s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L1\T0 ... Training model for up to 738.81s of the 1138.91s of remaining time.
	-0.0881	 = Validation score   (mean_squared_log_error)
	12.57s	 = Training   runtime
	0.57s	 = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L1\T0 ... Training model for up to 738.79s of the 1138.89s of remaining time.
	-0.0862	 = Validation score   (mean_squared_log_error)
	3.89s	 = Training   runtime
	0.64s	 = Validation runtime
Repeating k-fold bagging: 2/20
Repeating k-fold bagging: 3/20
Repeating k-fold bagging: 4/20
Repeating k-fold bagging: 5/20
Repeating k-fold bagging: 6/20
Repeating k-fold bagging: 7/20
Repeating k-fold bagging: 8/20
Repeating k-fold bagging: 9/20
Repeating k-fold bagging: 10/20
Repeating k-fold bagging: 11/20
Repeating k-fold bagging: 12/20
Repeating k-fold bagging: 13/20
Repeating k-fold bagging: 14/20
Repeating k-fold bagging: 15/20
Repeating k-fold bagging: 16/20
Repeating k-fold bagging: 17/20
Repeating k-fold bagging: 18/20
Repeating k-fold bagging: 19/20
Repeating k-fold bagging: 20/20
Completed 20/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L2 ... Training model for up to 360.0s of the 1138.81s of remaining time.
	-0.0856	 = Validation score   (mean_squared_log_error)
	0.4s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 9 L2 models ...
Hyperparameter tuning model: LightGBMXT_BAG_L2 ...
Warning: Exception caused LightGBMXT_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002978004CF98>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: LightGBM_BAG_L2 ...
Warning: Exception caused LightGBM_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 391, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x000002977FE7E9B0>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: RandomForestMSE_BAG_L2 ...
Fitted model: RandomForestMSE_BAG_L2\T0 ...
	-0.08	 = Validation score   (mean_squared_log_error)
	16.28s	 = Training   runtime
	0.61s	 = Validation runtime
Hyperparameter tuning model: CatBoost_BAG_L2 ...
Warning: Exception caused CatBoost_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x0000029780087400>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: ExtraTreesMSE_BAG_L2 ...
Fitted model: ExtraTreesMSE_BAG_L2\T0 ...
	-0.0792	 = Validation score   (mean_squared_log_error)
	4.23s	 = Training   runtime
	0.74s	 = Validation runtime
Hyperparameter tuning model: NeuralNetFastAI_BAG_L2 ...
Metric mean_squared_log_error is not supported by this model - using mean_squared_error instead
	Ran out of time, stopping training early. (Stopping on epoch 17)
Warning: Exception caused NeuralNetFastAI_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\fastainn\tabular_nn_fastai.py", line 394, in _hyperparameter_tune
    return skip_hpo(self, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\model_trial.py", line 98, in skip_hpo
    fit_and_save_model(model=model, params=dict(), fit_args=fit_model_args, predict_proba_args=predict_proba_args, y_val=y_val, time_start=time.time(), time_limit=time_limit)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\model_trial.py", line 86, in fit_and_save_model
    model.val_score = model.score_with_y_pred_proba(y=y_val, y_pred_proba=y_pred_proba, sample_weight=sample_weight_val)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 635, in score_with_y_pred_proba
    return compute_weighted_metric(y, y_pred, metric, sample_weight, quantile_levels=self.quantile_levels)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\utils\utils.py", line 568, in compute_weighted_metric
    return metric(y, y_pred, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\metrics\__init__.py", line 128, in __call__
    **self._kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\sklearn\utils\validation.py", line 63, in inner_f
    return f(*args, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\sklearn\metrics\_regression.py", line 413, in mean_squared_log_error
    raise ValueError("Mean Squared Logarithmic Error cannot be used when "
ValueError: Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Hyperparameter tuning model: XGBoost_BAG_L2 ...
Warning: Exception caused XGBoost_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 887, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x00000297800879B0>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Hyperparameter tuning model: NeuralNetMXNet_BAG_L2 ...
Warning: Exception caused NeuralNetMXNet_BAG_L2 to fail during hyperparameter tuning... Skipping this model.
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 1153, in _train_single_full
    hpo_models, hpo_model_performances, hpo_results = model.hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=hyperparameter_tune_kwargs, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 179, in _hyperparameter_tune
    return super()._hyperparameter_tune(X=X, y=y, k_fold=k_fold, scheduler_options=scheduler_options, preprocess_kwargs=preprocess_kwargs, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 801, in _hyperparameter_tune
    hpo_models, hpo_model_performances, hpo_results = self.model_base.hyperparameter_tune(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 830, in hyperparameter_tune
    return self._hyperparameter_tune(scheduler_options=scheduler_options, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\tabular_nn\tabular_nn_model.py", line 749, in _hyperparameter_tune
    scheduler.run()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\scheduler\seq_scheduler.py", line 152, in run
    for i in (tqdm(r) if self.num_trials < 1000 else r):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 242, in __init__
    self.container = self.status_printer(self.fp, total, self.desc, self.ncols)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 116, in status_printer
    "IProgress not found. Please update jupyter and ipywidgets."
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
Exception ignored in: <bound method tqdm.__del__ of <tqdm.auto.tqdm object at 0x00000297835F1390>>
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\std.py", line 1147, in __del__
    self.close()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\tqdm\notebook.py", line 286, in close
    self.disp(bar_style='danger', check_delay=False)
AttributeError: 'tqdm' object has no attribute 'disp'
Fitting model: LightGBMLarge_BAG_L2 ... Training model for up to 11.38s of the 1091.53s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	-0.0645	 = Validation score   (mean_squared_log_error)
	5.52s	 = Training   runtime
	0.03s	 = Validation runtime
Fitting model: RandomForestMSE_BAG_L2\T0 ... Training model for up to 1085.81s of the 1085.8s of remaining time.
	-0.08	 = Validation score   (mean_squared_log_error)
	16.28s	 = Training   runtime
	0.61s	 = Validation runtime
Fitting model: ExtraTreesMSE_BAG_L2\T0 ... Training model for up to 1085.79s of the 1085.78s of remaining time.
	-0.0792	 = Validation score   (mean_squared_log_error)
	4.23s	 = Training   runtime
	0.74s	 = Validation runtime
Fitting model: LightGBMLarge_BAG_L2 ... Training model for up to 1085.76s of the 1085.76s of remaining time.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
	Warning: Exception caused LightGBMLarge_BAG_L2 to fail during training... Skipping this model.
		Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Detailed Traceback:
Traceback (most recent call last):
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 962, in _train_and_save
    model = self._train_single(X, y, model, X_val, y_val, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\trainer\abstract_trainer.py", line 934, in _train_single
    model = model.fit(X=X, y=y, X_val=X_val, y_val=y_val, **model_fit_kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 522, in fit
    out = self._fit(**kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\stacker_ensemble_model.py", line 153, in _fit
    return super()._fit(X=X, y=y, time_limit=time_limit, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 189, in _fit
    n_repeats=n_repeats, n_repeat_start=n_repeat_start, save_folds=save_bag_folds, groups=groups, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\bagged_ensemble_model.py", line 388, in _fit_folds
    fold_fitting_strategy.after_all_folds_scheduled()
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\fold_fitting_strategy.py", line 59, in after_all_folds_scheduled
    self._fit_fold_model(*job)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\fold_fitting_strategy.py", line 64, in _fit_fold_model
    fold_model = self._fit(model_base, time_start_fold, time_limit_fold, fold_ctx, kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\ensemble\fold_fitting_strategy.py", line 111, in _fit
    fold_model.fit(X=X_fold, y=y_fold, X_val=X_val_fold, y_val=y_val_fold, time_limit=time_limit_fold, **kwargs_fold)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\models\abstract\abstract_model.py", line 522, in fit
    out = self._fit(**kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_model.py", line 182, in _fit
    self.model = lgb.train(**train_params)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py", line 299, in train
    evaluation_result_list.extend(booster.eval_valid(feval))
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\basic.py", line 3271, in eval_valid
    return [item for i in range(1, self.__num_dataset)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\basic.py", line 3272, in <listcomp>
    for item in self.__inner_eval(self.name_valid_sets[i - 1], i, feval)]
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\basic.py", line 3809, in __inner_eval
    feval_ret = eval_function(self.__inner_predict(data_idx), cur_data)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\tabular\models\lgb\lgb_utils.py", line 62, in function_template
    return metric.name, metric(y_true, y_hat), is_higher_better
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\autogluon\core\metrics\__init__.py", line 128, in __call__
    **self._kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\sklearn\utils\validation.py", line 63, in inner_f
    return f(*args, **kwargs)
  File "C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\sklearn\metrics\_regression.py", line 413, in mean_squared_log_error
    raise ValueError("Mean Squared Logarithmic Error cannot be used when "
ValueError: Mean Squared Logarithmic Error cannot be used when targets contain negative values.
Repeating k-fold bagging: 2/20
Repeating k-fold bagging: 3/20
Repeating k-fold bagging: 4/20
Repeating k-fold bagging: 5/20
Repeating k-fold bagging: 6/20
Repeating k-fold bagging: 7/20
Repeating k-fold bagging: 8/20
Repeating k-fold bagging: 9/20
Repeating k-fold bagging: 10/20
Repeating k-fold bagging: 11/20
Repeating k-fold bagging: 12/20
Repeating k-fold bagging: 13/20
Repeating k-fold bagging: 14/20
Repeating k-fold bagging: 15/20
Repeating k-fold bagging: 16/20
Repeating k-fold bagging: 17/20
Repeating k-fold bagging: 18/20
Repeating k-fold bagging: 19/20
Repeating k-fold bagging: 20/20
Completed 20/20 k-fold bagging repeats ...
Fitting model: WeightedEnsemble_L3 ... Training model for up to 360.0s of the 1062.15s of remaining time.
	-0.0788	 = Validation score   (mean_squared_log_error)
	0.23s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 138.1s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211210_143954\")
In [125]:
predictor_RMSLE.fit_summary()
*** Summary of fit() ***
Estimated performance of each model:
                       model  score_val  pred_time_val   fit_time  pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  fit_order
0       LightGBMLarge_BAG_L2  -0.064508      10.361032  21.990339                0.031981           5.518822            2       True          8
1        WeightedEnsemble_L3  -0.078823      11.678289  37.214586                0.001013           0.229880            3       True          9
2    ExtraTreesMSE_BAG_L2\T0  -0.079187      11.066625  20.702082                0.737575           4.230565            2       True          7
3  RandomForestMSE_BAG_L2\T0  -0.079998      10.939701  32.754141                0.610651          16.282624            2       True          6
4        WeightedEnsemble_L2  -0.085556       5.775673  16.860297                0.001000           0.398775            2       True          5
5    ExtraTreesMSE_BAG_L1\T0  -0.086199       0.640632   3.886761                0.640632           3.886761            1       True          4
6  RandomForestMSE_BAG_L1\T0  -0.088100       0.566673  12.566764                0.566673          12.566764            1       True          3
7   KNeighborsDist_BAG_L1\T0  -0.125425       4.567369   0.007997                4.567369           0.007997            1       True          2
8   KNeighborsUnif_BAG_L1\T0  -0.128212       4.554377   0.009995                4.554377           0.009995            1       True          1
Number of models trained: 9
Types of models trained:
{'StackerEnsembleModel_LGB', 'StackerEnsembleModel_XT', 'StackerEnsembleModel_KNN', 'WeightedEnsembleModel', 'StackerEnsembleModel_RF'}
Bagging used: True  (with 10 folds)
Multi-layer stack-ensembling used: True  (with 3 levels)
Feature Metadata (Processed):
(raw dtype, special dtypes):
('category', [])             :  5 | ['hour', 'weather', 'weekday', 'day', 'month']
('float', [])                : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
('int', [])                  :  1 | ['humidity']
('int', ['bool'])            :  1 | ['workingday']
('int', ['datetime_as_int']) :  2 | ['datetime', 'date']
Plot summary of models saved to file: AutogluonModels/ag-20211210_143954\SummaryOfModels.html
*** End of fit() summary ***
Out[125]:
{'model_types': {'KNeighborsUnif_BAG_L1\\T0': 'StackerEnsembleModel_KNN',
  'KNeighborsDist_BAG_L1\\T0': 'StackerEnsembleModel_KNN',
  'RandomForestMSE_BAG_L1\\T0': 'StackerEnsembleModel_RF',
  'ExtraTreesMSE_BAG_L1\\T0': 'StackerEnsembleModel_XT',
  'WeightedEnsemble_L2': 'WeightedEnsembleModel',
  'RandomForestMSE_BAG_L2\\T0': 'StackerEnsembleModel_RF',
  'ExtraTreesMSE_BAG_L2\\T0': 'StackerEnsembleModel_XT',
  'LightGBMLarge_BAG_L2': 'StackerEnsembleModel_LGB',
  'WeightedEnsemble_L3': 'WeightedEnsembleModel'},
 'model_performance': {'KNeighborsUnif_BAG_L1\\T0': -0.1282124255277413,
  'KNeighborsDist_BAG_L1\\T0': -0.1254249071125922,
  'RandomForestMSE_BAG_L1\\T0': -0.08810034776923616,
  'ExtraTreesMSE_BAG_L1\\T0': -0.08619897379945887,
  'WeightedEnsemble_L2': -0.08555574945073402,
  'RandomForestMSE_BAG_L2\\T0': -0.07999814135236705,
  'ExtraTreesMSE_BAG_L2\\T0': -0.07918714277968329,
  'LightGBMLarge_BAG_L2': -0.06450836120910762,
  'WeightedEnsemble_L3': -0.0788231719230093},
 'model_best': 'WeightedEnsemble_L3',
 'model_paths': {'KNeighborsUnif_BAG_L1\\T0': 'AutogluonModels/ag-20211210_143954\\models\\KNeighborsUnif_BAG_L1\\T0\\',
  'KNeighborsDist_BAG_L1\\T0': 'AutogluonModels/ag-20211210_143954\\models\\KNeighborsDist_BAG_L1\\T0\\',
  'RandomForestMSE_BAG_L1\\T0': 'AutogluonModels/ag-20211210_143954\\models\\RandomForestMSE_BAG_L1\\T0\\',
  'ExtraTreesMSE_BAG_L1\\T0': 'AutogluonModels/ag-20211210_143954\\models\\ExtraTreesMSE_BAG_L1\\T0\\',
  'WeightedEnsemble_L2': 'AutogluonModels/ag-20211210_143954\\models\\WeightedEnsemble_L2\\',
  'RandomForestMSE_BAG_L2\\T0': 'AutogluonModels/ag-20211210_143954\\models\\RandomForestMSE_BAG_L2\\T0\\',
  'ExtraTreesMSE_BAG_L2\\T0': 'AutogluonModels/ag-20211210_143954\\models\\ExtraTreesMSE_BAG_L2\\T0\\',
  'LightGBMLarge_BAG_L2': 'AutogluonModels/ag-20211210_143954\\models\\LightGBMLarge_BAG_L2\\',
  'WeightedEnsemble_L3': 'AutogluonModels/ag-20211210_143954\\models\\WeightedEnsemble_L3\\'},
 'model_fit_times': {'KNeighborsUnif_BAG_L1\\T0': 0.009995460510253906,
  'KNeighborsDist_BAG_L1\\T0': 0.007997274398803711,
  'RandomForestMSE_BAG_L1\\T0': 12.566763639450073,
  'ExtraTreesMSE_BAG_L1\\T0': 3.886760711669922,
  'WeightedEnsemble_L2': 0.3987753391265869,
  'RandomForestMSE_BAG_L2\\T0': 16.282623767852783,
  'ExtraTreesMSE_BAG_L2\\T0': 4.230564832687378,
  'LightGBMLarge_BAG_L2': 5.518822193145752,
  'WeightedEnsemble_L3': 0.22988033294677734},
 'model_pred_times': {'KNeighborsUnif_BAG_L1\\T0': 4.554376840591431,
  'KNeighborsDist_BAG_L1\\T0': 4.567368507385254,
  'RandomForestMSE_BAG_L1\\T0': 0.5666728019714355,
  'ExtraTreesMSE_BAG_L1\\T0': 0.6406323909759521,
  'WeightedEnsemble_L2': 0.0009996891021728516,
  'RandomForestMSE_BAG_L2\\T0': 0.6106507778167725,
  'ExtraTreesMSE_BAG_L2\\T0': 0.7375748157501221,
  'LightGBMLarge_BAG_L2': 0.03198122978210449,
  'WeightedEnsemble_L3': 0.0010128021240234375},
 'num_bag_folds': 10,
 'max_stack_level': 3,
 'model_hyperparams': {'KNeighborsUnif_BAG_L1\\T0': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'KNeighborsDist_BAG_L1\\T0': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'RandomForestMSE_BAG_L1\\T0': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'ExtraTreesMSE_BAG_L1\\T0': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'WeightedEnsemble_L2': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'RandomForestMSE_BAG_L2\\T0': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'ExtraTreesMSE_BAG_L2\\T0': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True,
   'use_child_oof': True},
  'LightGBMLarge_BAG_L2': {'use_orig_features': True,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True},
  'WeightedEnsemble_L3': {'use_orig_features': False,
   'max_base_models': 25,
   'max_base_models_per_type': 5,
   'save_bag_folds': True}},
 'leaderboard':                        model  score_val  pred_time_val   fit_time  \
 0       LightGBMLarge_BAG_L2  -0.064508      10.361032  21.990339   
 1        WeightedEnsemble_L3  -0.078823      11.678289  37.214586   
 2    ExtraTreesMSE_BAG_L2\T0  -0.079187      11.066625  20.702082   
 3  RandomForestMSE_BAG_L2\T0  -0.079998      10.939701  32.754141   
 4        WeightedEnsemble_L2  -0.085556       5.775673  16.860297   
 5    ExtraTreesMSE_BAG_L1\T0  -0.086199       0.640632   3.886761   
 6  RandomForestMSE_BAG_L1\T0  -0.088100       0.566673  12.566764   
 7   KNeighborsDist_BAG_L1\T0  -0.125425       4.567369   0.007997   
 8   KNeighborsUnif_BAG_L1\T0  -0.128212       4.554377   0.009995   
 
    pred_time_val_marginal  fit_time_marginal  stack_level  can_infer  \
 0                0.031981           5.518822            2       True   
 1                0.001013           0.229880            3       True   
 2                0.737575           4.230565            2       True   
 3                0.610651          16.282624            2       True   
 4                0.001000           0.398775            2       True   
 5                0.640632           3.886761            1       True   
 6                0.566673          12.566764            1       True   
 7                4.567369           0.007997            1       True   
 8                4.554377           0.009995            1       True   
 
    fit_order  
 0          8  
 1          9  
 2          7  
 3          6  
 4          5  
 5          4  
 6          3  
 7          2  
 8          1  }
In [121]:
# Remember to set all negative values to zero
predictor_bag = predictor_RMSLE.predict(df_test)
predictor_bag[predictor_bag<0] = 0

# Same submitting predictions
submission_hypo = pd.read_csv('sampleSubmission.csv')
submission_hypo["count"] = predictor_bag
submission_hypo.to_csv("submission_submission_RMSLE.csv", index=False)
In [122]:
!kaggle competitions submit -c bike-sharing-demand -f submission_submission_RMSLE.csv -m "Custome Eval Metric"
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,

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In [123]:
!kaggle competitions submissions -c bike-sharing-demand  
fileName                                 date                 description                                   status    publicScore  privateScore  
---------------------------------------  -------------------  --------------------------------------------  --------  -----------  ------------  
submission_submission_RMSLE.csv          2021-12-10 14:44:00  Custome Eval Metric                           complete  0.45892      0.45892       
submission_submission_hypov2.csv         2021-12-10 14:23:31  new features with hyperparameters V2          complete  0.45490      0.45490       
submission_submission_hypov2.csv         2021-12-10 13:57:06  new features with hyperparameters V2          complete  0.57647      0.57647       
submission_submission_hypo.csv           2021-12-10 10:07:22  new features with hyperparameters             complete  0.45563      0.45563       
submission_time_search_5min.csv          2021-12-10 09:23:07  5 min train submit                            complete  0.44797      0.44797       
submission_import_features.csv           2021-12-08 13:55:39  Feature Importance                            complete  0.45194      0.45194       
submission_import_features.csv           2021-12-08 13:53:11  Feature Importance                            complete  0.45414      0.45414       
submission_import_features.csv           2021-12-08 13:51:11  Feature Importance                            complete  0.45749      0.45749       
submission_import_features.csv           2021-12-08 13:48:53  Feature Importance                            complete  0.45210      0.45210       
submission_import_features.csv           2021-12-08 13:44:55  Feature Importance                            complete  0.48275      0.48275       
submission_import_features.csv           2021-12-08 13:42:28  Feature Importance                            complete  0.45753      0.45753       
submission_import_features.csv           2021-12-08 13:39:01  Feature Importance                            complete  0.45939      0.45939       
submission_new_featuresV3.csv            2021-12-08 12:44:41  new features_AdvancedV3                       complete  0.45274      0.45274       
submission_new_features_Advanced_V1.csv  2021-12-08 12:20:43  new features Advanced V1                      complete  0.45810      0.45810       
submission_new_features_Advanced_V1.csv  2021-12-08 12:20:12  new features                                  complete  0.45810      0.45810       
submission_new_features_log.csv          2021-12-08 12:07:08  NF - Model 2  (Basic  Log Transform )         complete  0.50789      0.50789       
submission_new_features_log.csv          2021-12-08 12:06:06  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features_log.csv          2021-12-08 11:34:53  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features.csv              2021-12-08 11:24:55  NF - Model 1  (Basic  Time Catogricla data )  complete  0.50674      0.50674       
submission.csv                           2021-12-08 11:13:27  first raw submission                          complete  1.38952      1.38952       
submission_new_hpo.csv                   2021-12-08 11:06:33  new features with hyperparameters Tune        complete  0.48748      0.48748       
submission_new_hpo.csv                   2021-12-08 09:14:10  new features with hyperparameters Tune        complete  0.51858      0.51858       
submission_new_hpo_ensV4.csv             2021-12-07 15:02:09  new features with hyperparameters Vקרדןםמ 4   complete  0.48961      0.48961       
submission_new_hpo.csv                   2021-12-07 14:29:38  new features with hyperparameters Tune        complete  0.48338      0.48338       
submission_new_featuresV3.csv            2021-12-07 14:00:06  new featuresV3                                complete  0.45074      0.45074       
submission_new_featuresV2.csv            2021-12-07 13:39:45  new features                                  complete  0.50306      0.50306       
submission_new_features.csv              2021-12-07 13:09:48  new features                                  complete  0.51097      0.51097       
submission.csv                           2021-12-07 13:04:23  first raw submission                          complete  1.39309      1.39309       
submission_new_hpo.csv                   2021-12-07 11:12:13  new features with hyperparameters Tune        complete  0.45509      0.45509       
submission_new_featuresV3.csv            2021-12-07 10:53:43  new featuresV3                                complete  0.45057      0.45057       
submission_new_featuresV2.csv            2021-12-07 10:43:05  new features                                  complete  0.47595      0.47595       
submission_new_featuresV2.csv            2021-12-07 10:42:32  new features                                  error     None         None          
submission_new_features.csv              2021-12-07 10:32:26  new features                                  complete  0.50670      0.50670       
submission.csv                           2021-12-07 10:24:27  first raw submission                          complete  1.38989      1.38989       
submission_new_hpo.csv                   2021-12-07 09:08:34  new features with hyperparameters             complete  0.46172      0.46172       
submission_new_hpo.csv                   2021-12-07 08:59:07  new features with hyperparameters             complete  0.45760      0.45760       
submission_new_features.csv              2021-12-06 20:57:01  new features                                  complete  0.44755      0.44755       
submission_new_features.csv              2021-12-06 20:50:18  new features                                  complete  0.44577      0.44577       
submission_new_features.csv              2021-12-06 20:45:43  new features                                  complete  0.44592      0.44592       
submission_RMSLE.csv                     2021-12-06 17:57:57  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:46:31  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:25:04  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:13:44  Custome Eval Metric                           complete  0.46093      0.46093       
submission_new_hpo_ens.csv               2021-12-06 15:59:53  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv               2021-12-06 15:55:19  new features with hyperparameters             complete  0.47243      0.47243       
submission_new_hpo_ens.csv               2021-12-06 15:14:56  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo_ens.csv               2021-12-06 15:11:35  new features with hyperparameters             complete  0.47219      0.47219       
submission_new_hpo_ens.csv               2021-12-06 15:03:25  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv                   2021-12-06 15:02:29  new features with hyperparameters             complete  0.44685      0.44685       
submission_new_hpo.csv                   2021-12-06 13:32:40  new features with hyperparameters             complete  0.44575      0.44575       
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,
In [183]:
import autogluon.core as ag
from autogluon.tabular import TabularDataset, TabularPredictor

nn_options = {  # specifies non-default hyperparameter values for neural network models
    'num_epochs': 10,  # number of training epochs (controls training time of NN models)
    'learning_rate': ag.space.Real(1e-4, 1e-2, default=5e-4, log=True),  # learning rate used in training (real-valued hyperparameter searched on log-scale)
    'activation': ag.space.Categorical('relu', 'softrelu', 'tanh'),  # activation function used in NN (categorical hyperparameter, default = first entry)
    'layers': ag.space.Categorical([100], [1000], [200, 100], [300, 200, 100]),  # each choice for categorical hyperparameter 'layers' corresponds to list of sizes for each NN layer to use
    'dropout_prob': ag.space.Real(0.0, 0.5, default=0.1),  # dropout probability (real-valued hyperparameter)
}

gbm_options = {  # specifies non-default hyperparameter values for lightGBM gradient boosted trees
    'num_boost_round': 30000,  # number of boosting rounds (controls training time of GBM models)
    'num_leaves': ag.space.Int(lower=26, upper=126, default=36),  # number of leaves in trees (integer hyperparameter)
    'max_depth' : ag.space.Int(lower=3, upper=12, default=5),
    'min_samples_leaf '  : ag.space.Int(lower=12, upper=100, default=50)
}

hyperparameters = {  # hyperparameters of each model type
                   'GBM': gbm_options,
                  # 'NN': nn_options,  # NOTE: comment this line out if you get errors on Mac OSX
                  }  # When these keys are missing from hyperparameters dict, no models of that type are trained

time_limit = 35*60  # train various models for ~2 min
num_trials = 5  # try at most 5 different hyperparameter configurations for each type of model
search_strategy = 'auto'  # to tune hyperparameters using Bayesian optimization routine with a local scheduler

hyperparameter_tune_kwargs = {  # HPO is not performed unless hyperparameter_tune_kwargs is specified
    'num_trials': num_trials,
    'scheduler' : 'local',
    'searcher': search_strategy,
}

predictor = TabularPredictor(label='count', eval_metric='root_mean_squared_error').fit( train_data = df_features, time_limit=time_limit,   
    num_bag_folds=5, num_bag_sets=1, num_stack_levels=3,
    hyperparameter_tune_kwargs =  'auto',
    hyperparameters = { 'GBM': gbm_options}, 
    presets="best_quality",
)
No path specified. Models will be saved in: "AutogluonModels/ag-20211211_111356\"
Presets specified: ['best_quality']
Warning: hyperparameter tuning is currently experimental and may cause the process to hang.
Beginning AutoGluon training ... Time limit = 2100s
AutoGluon will save models to "AutogluonModels/ag-20211211_111356\"
AutoGluon Version:  0.3.1
Train Data Rows:    10886
Train Data Columns: 25
Preprocessing data ...
AutoGluon infers your prediction problem is: 'regression' (because dtype of label-column == float and many unique label-values observed).
	Label info (max, min, mean, stddev): (977.0, 1.0, 191.57413, 181.14445)
	If 'regression' is not the correct problem_type, please manually specify the problem_type argument in fit() (You may specify problem_type as one of: ['binary', 'multiclass', 'regression'])
Using Feature Generators to preprocess the data ...
Fitting AutoMLPipelineFeatureGenerator...
	Available Memory:                    3704.41 MB
	Train Data (Original)  Memory Usage: 1.72 MB (0.0% of available memory)
	Inferring data type of each feature based on column values. Set feature_metadata_in to manually specify special dtypes of the features.
	Stage 1 Generators:
		Fitting AsTypeFeatureGenerator...
			Note: Converting 1 features to boolean dtype as they only contain 2 unique values.
	Stage 2 Generators:
		Fitting FillNaFeatureGenerator...
	Stage 3 Generators:
		Fitting IdentityFeatureGenerator...
		Fitting CategoryFeatureGenerator...
			Fitting CategoryMemoryMinimizeFeatureGenerator...
		Fitting DatetimeFeatureGenerator...
	Stage 4 Generators:
		Fitting DropUniqueFeatureGenerator...
	Types of features in original data (raw dtype, special dtypes):
		('category', []) :  6 | ['hour', 'workingday', 'weather', 'weekday', 'day', ...]
		('datetime', []) :  2 | ['datetime', 'date']
		('float', [])    : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])      :  1 | ['humidity']
	Types of features in processed data (raw dtype, special dtypes):
		('category', [])             :  5 | ['hour', 'weather', 'weekday', 'day', 'month']
		('float', [])                : 16 | ['shift_1h', 'shift_7', 'shift_1', 'rollind_24h_std', 'shift_5h', ...]
		('int', [])                  :  1 | ['humidity']
		('int', ['bool'])            :  1 | ['workingday']
		('int', ['datetime_as_int']) :  2 | ['datetime', 'date']
	0.2s = Fit runtime
	25 features in original data used to generate 25 features in processed data.
	Train Data (Processed) Memory Usage: 1.72 MB (0.0% of available memory)
Data preprocessing and feature engineering runtime = 0.28s ...
AutoGluon will gauge predictive performance using evaluation metric: 'root_mean_squared_error'
	To change this, specify the eval_metric argument of fit()
AutoGluon will fit 4 stack levels (L1 to L4) ...
Fitting 1 L1 models ...
Hyperparameter tuning model: LightGBM_BAG_L1 ...
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 76
[LightGBM] [Warning] min_data_in_leaf is set=13, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=13
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 35
[LightGBM] [Warning] min_data_in_leaf is set=19, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=19
[1000]	train_set's rmse: 38.2065	valid_set's rmse: 41.9251
[2000]	train_set's rmse: 32.8062	valid_set's rmse: 37.843
[3000]	train_set's rmse: 29.9847	valid_set's rmse: 36.1912
[4000]	train_set's rmse: 28.1619	valid_set's rmse: 35.333
[5000]	train_set's rmse: 26.7378	valid_set's rmse: 34.7608
[6000]	train_set's rmse: 25.6698	valid_set's rmse: 34.5052
[7000]	train_set's rmse: 24.7708	valid_set's rmse: 34.302
[8000]	train_set's rmse: 23.9516	valid_set's rmse: 34.1244
[9000]	train_set's rmse: 23.1915	valid_set's rmse: 34.0434
[10000]	train_set's rmse: 22.5232	valid_set's rmse: 33.9074
[11000]	train_set's rmse: 21.9255	valid_set's rmse: 33.8516
[12000]	train_set's rmse: 21.3702	valid_set's rmse: 33.8266
[13000]	train_set's rmse: 20.8451	valid_set's rmse: 33.8152
[14000]	train_set's rmse: 20.3672	valid_set's rmse: 33.8133
[15000]	train_set's rmse: 19.9337	valid_set's rmse: 33.8168
[16000]	train_set's rmse: 19.5177	valid_set's rmse: 33.8447
[17000]	train_set's rmse: 19.129	valid_set's rmse: 33.8648
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=27, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=27
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 49
[LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
[1000]	train_set's rmse: 35.6078	valid_set's rmse: 39.7816
[2000]	train_set's rmse: 30.6869	valid_set's rmse: 36.5645
[3000]	train_set's rmse: 28.1532	valid_set's rmse: 35.2956
[4000]	train_set's rmse: 26.4013	valid_set's rmse: 34.7255
[5000]	train_set's rmse: 25.0963	valid_set's rmse: 34.3984
[6000]	train_set's rmse: 24.0288	valid_set's rmse: 34.1353
[7000]	train_set's rmse: 23.1446	valid_set's rmse: 33.9787
[8000]	train_set's rmse: 22.2992	valid_set's rmse: 33.7657
[9000]	train_set's rmse: 21.5919	valid_set's rmse: 33.7567
[10000]	train_set's rmse: 20.9069	valid_set's rmse: 33.766
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 47
[LightGBM] [Warning] min_data_in_leaf is set=3, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=3
[1000]	train_set's rmse: 24.2588	valid_set's rmse: 34.5639
[2000]	train_set's rmse: 19.2639	valid_set's rmse: 33.6721
[3000]	train_set's rmse: 16.2037	valid_set's rmse: 33.5632
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=8, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=8
[1000]	train_set's rmse: 20.9905	valid_set's rmse: 34.7044
[2000]	train_set's rmse: 15.8582	valid_set's rmse: 34.2825
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 31
[LightGBM] [Warning] min_data_in_leaf is set=7, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=7
[1000]	train_set's rmse: 19.6857	valid_set's rmse: 34.469
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 14
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 27.9437	valid_set's rmse: 35.3615
[2000]	train_set's rmse: 23.337	valid_set's rmse: 34.1087
[3000]	train_set's rmse: 20.7063	valid_set's rmse: 33.7677
[4000]	train_set's rmse: 18.725	valid_set's rmse: 33.542
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 43
[LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
[1000]	train_set's rmse: 29.7325	valid_set's rmse: 36.0825
[2000]	train_set's rmse: 25.4067	valid_set's rmse: 34.4962
[3000]	train_set's rmse: 22.9338	valid_set's rmse: 34.1725
[4000]	train_set's rmse: 21.1119	valid_set's rmse: 34.0167
[5000]	train_set's rmse: 19.5796	valid_set's rmse: 33.9807
[6000]	train_set's rmse: 18.2769	valid_set's rmse: 33.9623
[7000]	train_set's rmse: 17.1712	valid_set's rmse: 33.957
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 81
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 32.5919	valid_set's rmse: 38.1396
[2000]	train_set's rmse: 27.7805	valid_set's rmse: 35.7037
[3000]	train_set's rmse: 25.0226	valid_set's rmse: 34.7981
[4000]	train_set's rmse: 23.1872	valid_set's rmse: 34.3871
[5000]	train_set's rmse: 21.7221	valid_set's rmse: 34.1688
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 33.765	valid_set's rmse: 38.7796
[2000]	train_set's rmse: 28.7996	valid_set's rmse: 35.7192
[3000]	train_set's rmse: 26.1046	valid_set's rmse: 34.6923
[4000]	train_set's rmse: 24.197	valid_set's rmse: 34.2406
[5000]	train_set's rmse: 22.8028	valid_set's rmse: 34.0824
[6000]	train_set's rmse: 21.62	valid_set's rmse: 33.9987
[7000]	train_set's rmse: 20.5916	valid_set's rmse: 33.8735
[8000]	train_set's rmse: 19.7096	valid_set's rmse: 33.8501
[9000]	train_set's rmse: 18.8877	valid_set's rmse: 33.8185
[10000]	train_set's rmse: 18.1494	valid_set's rmse: 33.7606
[11000]	train_set's rmse: 17.4337	valid_set's rmse: 33.6929
[12000]	train_set's rmse: 16.7629	valid_set's rmse: 33.6904
[13000]	train_set's rmse: 16.1047	valid_set's rmse: 33.6698
[14000]	train_set's rmse: 15.5492	valid_set's rmse: 33.7125
[15000]	train_set's rmse: 15.0468	valid_set's rmse: 33.7051
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 66
[LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16
[1000]	train_set's rmse: 30.5837	valid_set's rmse: 36.9008
[2000]	train_set's rmse: 25.9317	valid_set's rmse: 34.9166
[3000]	train_set's rmse: 23.2662	valid_set's rmse: 34.2273
[4000]	train_set's rmse: 21.2949	valid_set's rmse: 33.9312
[5000]	train_set's rmse: 19.789	valid_set's rmse: 33.7961
[6000]	train_set's rmse: 18.5343	valid_set's rmse: 33.7055
[7000]	train_set's rmse: 17.5054	valid_set's rmse: 33.7044
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 26
[LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
[1000]	train_set's rmse: 24.0415	valid_set's rmse: 34.4937
[2000]	train_set's rmse: 19.4611	valid_set's rmse: 34.0283
[3000]	train_set's rmse: 16.6203	valid_set's rmse: 33.8922
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 72
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 39.7991	valid_set's rmse: 43.6165
[2000]	train_set's rmse: 34.1174	valid_set's rmse: 39.1085
[3000]	train_set's rmse: 31.0026	valid_set's rmse: 37.0059
[4000]	train_set's rmse: 29.0808	valid_set's rmse: 35.9464
[5000]	train_set's rmse: 27.5807	valid_set's rmse: 35.296
[6000]	train_set's rmse: 26.3608	valid_set's rmse: 34.8807
[7000]	train_set's rmse: 25.2911	valid_set's rmse: 34.57
[8000]	train_set's rmse: 24.409	valid_set's rmse: 34.3655
[9000]	train_set's rmse: 23.6436	valid_set's rmse: 34.1733
[10000]	train_set's rmse: 22.944	valid_set's rmse: 34.0221
[11000]	train_set's rmse: 22.3051	valid_set's rmse: 33.9413
[12000]	train_set's rmse: 21.7343	valid_set's rmse: 33.8735
[13000]	train_set's rmse: 21.2368	valid_set's rmse: 33.8684
[14000]	train_set's rmse: 20.7405	valid_set's rmse: 33.7856
[15000]	train_set's rmse: 20.2755	valid_set's rmse: 33.743
[16000]	train_set's rmse: 19.8394	valid_set's rmse: 33.7371
[17000]	train_set's rmse: 19.4172	valid_set's rmse: 33.7518
[18000]	train_set's rmse: 18.9953	valid_set's rmse: 33.7616
[19000]	train_set's rmse: 18.6004	valid_set's rmse: 33.7516
[20000]	train_set's rmse: 18.2323	valid_set's rmse: 33.7308
[21000]	train_set's rmse: 17.8852	valid_set's rmse: 33.7272
[22000]	train_set's rmse: 17.5591	valid_set's rmse: 33.7095
[23000]	train_set's rmse: 17.2346	valid_set's rmse: 33.7132
[24000]	train_set's rmse: 16.9085	valid_set's rmse: 33.7139
[25000]	train_set's rmse: 16.6026	valid_set's rmse: 33.6944
[26000]	train_set's rmse: 16.319	valid_set's rmse: 33.691
[27000]	train_set's rmse: 16.0134	valid_set's rmse: 33.7084
[28000]	train_set's rmse: 15.7386	valid_set's rmse: 33.7134
[29000]	train_set's rmse: 15.4681	valid_set's rmse: 33.7067
[30000]	train_set's rmse: 15.2027	valid_set's rmse: 33.7102
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 96
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 39.0682	valid_set's rmse: 42.7994
[2000]	train_set's rmse: 33.3273	valid_set's rmse: 38.4291
[3000]	train_set's rmse: 30.3258	valid_set's rmse: 36.4593
[4000]	train_set's rmse: 28.4431	valid_set's rmse: 35.4461
[5000]	train_set's rmse: 26.9193	valid_set's rmse: 34.8865
[6000]	train_set's rmse: 25.682	valid_set's rmse: 34.4952
[7000]	train_set's rmse: 24.6436	valid_set's rmse: 34.2382
[8000]	train_set's rmse: 23.7964	valid_set's rmse: 34.0686
[9000]	train_set's rmse: 23.0831	valid_set's rmse: 34.0006
[10000]	train_set's rmse: 22.4129	valid_set's rmse: 33.9941
[11000]	train_set's rmse: 21.802	valid_set's rmse: 33.9752
[12000]	train_set's rmse: 21.2557	valid_set's rmse: 33.8911
[13000]	train_set's rmse: 20.7567	valid_set's rmse: 33.8442
[14000]	train_set's rmse: 20.2665	valid_set's rmse: 33.7895
[15000]	train_set's rmse: 19.8002	valid_set's rmse: 33.7611
[16000]	train_set's rmse: 19.3646	valid_set's rmse: 33.7254
[17000]	train_set's rmse: 18.9354	valid_set's rmse: 33.672
[18000]	train_set's rmse: 18.5362	valid_set's rmse: 33.658
[19000]	train_set's rmse: 18.1611	valid_set's rmse: 33.6519
[20000]	train_set's rmse: 17.7889	valid_set's rmse: 33.6151
[21000]	train_set's rmse: 17.4293	valid_set's rmse: 33.5814
[22000]	train_set's rmse: 17.0737	valid_set's rmse: 33.5517
	Ran out of time, early stopping on iteration 23118. Best iteration is:
	[22514]	train_set's rmse: 16.8911	valid_set's rmse: 33.532
[23000]	train_set's rmse: 16.7196	valid_set's rmse: 33.5397
	Time limit exceeded
Fitted model: LightGBM_BAG_L1\T0 ...
	-34.2066	 = Validation score   (root_mean_squared_error)
	1.42s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T1 ...
	-36.237	 = Validation score   (root_mean_squared_error)
	1.31s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T2 ...
	-33.8006	 = Validation score   (root_mean_squared_error)
	10.3s	 = Training   runtime
	1.46s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T3 ...
	-35.8997	 = Validation score   (root_mean_squared_error)
	0.45s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T4 ...
	-36.3995	 = Validation score   (root_mean_squared_error)
	2.39s	 = Training   runtime
	0.07s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T5 ...
	-33.7402	 = Validation score   (root_mean_squared_error)
	5.45s	 = Training   runtime
	0.84s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T6 ...
	-36.2174	 = Validation score   (root_mean_squared_error)
	0.54s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T7 ...
	-33.5505	 = Validation score   (root_mean_squared_error)
	2.67s	 = Training   runtime
	0.17s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T8 ...
	-34.2754	 = Validation score   (root_mean_squared_error)
	3.09s	 = Training   runtime
	0.13s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T9 ...
	-34.2738	 = Validation score   (root_mean_squared_error)
	2.39s	 = Training   runtime
	0.11s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T10 ...
	-33.5239	 = Validation score   (root_mean_squared_error)
	2.58s	 = Training   runtime
	0.23s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T11 ...
	-33.926	 = Validation score   (root_mean_squared_error)
	3.89s	 = Training   runtime
	0.53s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T12 ...
	-34.1494	 = Validation score   (root_mean_squared_error)
	3.53s	 = Training   runtime
	0.34s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T13 ...
	-33.6575	 = Validation score   (root_mean_squared_error)
	8.03s	 = Training   runtime
	1.23s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T14 ...
	-33.6944	 = Validation score   (root_mean_squared_error)
	5.97s	 = Training   runtime
	0.92s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T15 ...
	-33.8626	 = Validation score   (root_mean_squared_error)
	2.51s	 = Training   runtime
	0.16s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T16 ...
	-33.6859	 = Validation score   (root_mean_squared_error)
	16.64s	 = Training   runtime
	2.56s	 = Validation runtime
Fitted model: LightGBM_BAG_L1\T17 ...
	-33.532	 = Validation score   (root_mean_squared_error)
	12.28s	 = Training   runtime
	2.17s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T0 ... Training model for up to 577.54s of the 1977.53s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-33.7127	 = Validation score   (root_mean_squared_error)
	6.74s	 = Training   runtime
	0.28s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T1 ... Training model for up to 571.75s of the 1971.73s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.1345	 = Validation score   (root_mean_squared_error)
	6.0s	 = Training   runtime
	0.25s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T2 ... Training model for up to 566.61s of the 1966.6s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-33.6307	 = Validation score   (root_mean_squared_error)
	14.85s	 = Training   runtime
	1.67s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T3 ... Training model for up to 561.64s of the 1961.63s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0631	 = Validation score   (root_mean_squared_error)
	5.18s	 = Training   runtime
	0.22s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T4 ... Training model for up to 556.48s of the 1956.46s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.1691	 = Validation score   (root_mean_squared_error)
	7.04s	 = Training   runtime
	0.28s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T5 ... Training model for up to 551.41s of the 1951.4s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-33.6185	 = Validation score   (root_mean_squared_error)
	9.99s	 = Training   runtime
	1.04s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T6 ... Training model for up to 546.46s of the 1946.44s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.1303	 = Validation score   (root_mean_squared_error)
	4.94s	 = Training   runtime
	0.23s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T7 ... Training model for up to 541.62s of the 1941.61s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-33.5805	 = Validation score   (root_mean_squared_error)
	7.56s	 = Training   runtime
	0.38s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T8 ... Training model for up to 536.3s of the 1936.28s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-33.7267	 = Validation score   (root_mean_squared_error)
	7.59s	 = Training   runtime
	0.33s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T9 ... Training model for up to 531.37s of the 1931.36s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-33.7264	 = Validation score   (root_mean_squared_error)
	6.9s	 = Training   runtime
	0.32s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T10 ... Training model for up to 526.45s of the 1926.43s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-33.5752	 = Validation score   (root_mean_squared_error)
	7.26s	 = Training   runtime
	0.43s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T11 ... Training model for up to 521.35s of the 1921.34s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-33.6559	 = Validation score   (root_mean_squared_error)
	8.44s	 = Training   runtime
	0.75s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T12 ... Training model for up to 516.35s of the 1916.34s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-33.7011	 = Validation score   (root_mean_squared_error)
	8.71s	 = Training   runtime
	0.57s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T13 ... Training model for up to 510.7s of the 1910.69s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-33.602	 = Validation score   (root_mean_squared_error)
	12.98s	 = Training   runtime
	1.43s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T14 ... Training model for up to 505.33s of the 1905.32s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-33.6094	 = Validation score   (root_mean_squared_error)
	10.52s	 = Training   runtime
	1.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T15 ... Training model for up to 500.37s of the 1900.35s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-33.6431	 = Validation score   (root_mean_squared_error)
	7.24s	 = Training   runtime
	0.39s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T16 ... Training model for up to 495.19s of the 1895.18s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-33.6076	 = Validation score   (root_mean_squared_error)
	21.89s	 = Training   runtime
	2.77s	 = Validation runtime
Fitting model: LightGBM_BAG_L1\T17 ... Training model for up to 489.52s of the 1889.5s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[1000]	train_set's rmse: 13.5512	valid_set's rmse: 32.4189
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-33.5768	 = Validation score   (root_mean_squared_error)
	16.77s	 = Training   runtime
	2.38s	 = Validation runtime
Fitting model: WeightedEnsemble_L2 ... Training model for up to 360.0s of the 1884.49s of remaining time.
	-33.5026	 = Validation score   (root_mean_squared_error)
	0.31s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 1 L2 models ...
Hyperparameter tuning model: LightGBM_BAG_L2 ...
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 14
[LightGBM] [Warning] min_data_in_leaf is set=25, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=25
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 35
[LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 42
[LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 21
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 44
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=21, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=21
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 32
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 29
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
[1000]	train_set's rmse: 24.0589	valid_set's rmse: 34.9057
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 97
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 97
[LightGBM] [Warning] min_data_in_leaf is set=8, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=8
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=26, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=26
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 65
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 39
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 24.6722	valid_set's rmse: 34.7926
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 99
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 15
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 90
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 26.0107	valid_set's rmse: 34.8234
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 66
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 24.0114	valid_set's rmse: 34.7958
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 40
[LightGBM] [Warning] min_data_in_leaf is set=6, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=6
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 32
[LightGBM] [Warning] min_data_in_leaf is set=6, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=6
[1000]	train_set's rmse: 25.3654	valid_set's rmse: 34.9131
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 69
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 21.8824	valid_set's rmse: 35.2274
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
[1000]	train_set's rmse: 23.2967	valid_set's rmse: 34.8243
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 26
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
[1000]	train_set's rmse: 21.3178	valid_set's rmse: 34.9505
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=26, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=26
[1000]	train_set's rmse: 28.4631	valid_set's rmse: 34.9855
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 53
[LightGBM] [Warning] min_data_in_leaf is set=26, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=26
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 63
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 76
[LightGBM] [Warning] min_data_in_leaf is set=24, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=24
[1000]	train_set's rmse: 27.4325	valid_set's rmse: 34.9066
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 66
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 98
[LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
[1000]	train_set's rmse: 26.8367	valid_set's rmse: 34.9128
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
[1000]	train_set's rmse: 21.1729	valid_set's rmse: 34.823
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 18
[LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 16.8684	valid_set's rmse: 35.0639
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 80
[LightGBM] [Warning] min_data_in_leaf is set=23, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=23
[1000]	train_set's rmse: 21.6736	valid_set's rmse: 34.9006
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 94
[LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20
[1000]	train_set's rmse: 20.9967	valid_set's rmse: 34.8258
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 56
[LightGBM] [Warning] min_data_in_leaf is set=24, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=24
[1000]	train_set's rmse: 21.493	valid_set's rmse: 34.9394
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 35
[LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16
[1000]	train_set's rmse: 20.0258	valid_set's rmse: 35.0131
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 49
[LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
[1000]	train_set's rmse: 27.2477	valid_set's rmse: 34.8496
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 18
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 25.9815	valid_set's rmse: 34.8486
	Time limit exceeded
Fitted model: LightGBM_BAG_L2\T0 ...
	-35.0126	 = Validation score   (root_mean_squared_error)
	0.49s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T1 ...
	-34.9894	 = Validation score   (root_mean_squared_error)
	1.05s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T2 ...
	-34.9157	 = Validation score   (root_mean_squared_error)
	1.73s	 = Training   runtime
	0.04s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T3 ...
	-34.9138	 = Validation score   (root_mean_squared_error)
	1.02s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T4 ...
	-35.2378	 = Validation score   (root_mean_squared_error)
	1.07s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T5 ...
	-35.0322	 = Validation score   (root_mean_squared_error)
	0.77s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T6 ...
	-34.9845	 = Validation score   (root_mean_squared_error)
	0.85s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T7 ...
	-35.192	 = Validation score   (root_mean_squared_error)
	1.02s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T8 ...
	-34.8964	 = Validation score   (root_mean_squared_error)
	3.93s	 = Training   runtime
	0.06s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T9 ...
	-34.9674	 = Validation score   (root_mean_squared_error)
	0.47s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T10 ...
	-35.1563	 = Validation score   (root_mean_squared_error)
	0.57s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T11 ...
	-34.9462	 = Validation score   (root_mean_squared_error)
	2.14s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T12 ...
	-34.8213	 = Validation score   (root_mean_squared_error)
	1.34s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T13 ...
	-34.758	 = Validation score   (root_mean_squared_error)
	2.61s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T14 ...
	-34.9781	 = Validation score   (root_mean_squared_error)
	0.99s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T15 ...
	-34.806	 = Validation score   (root_mean_squared_error)
	1.24s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T16 ...
	-34.7312	 = Validation score   (root_mean_squared_error)
	4.44s	 = Training   runtime
	0.06s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T17 ...
	-34.7342	 = Validation score   (root_mean_squared_error)
	5.33s	 = Training   runtime
	0.06s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T18 ...
	-34.8744	 = Validation score   (root_mean_squared_error)
	2.52s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T19 ...
	-34.9049	 = Validation score   (root_mean_squared_error)
	3.38s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T20 ...
	-35.2091	 = Validation score   (root_mean_squared_error)
	4.44s	 = Training   runtime
	0.06s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T21 ...
	-34.7964	 = Validation score   (root_mean_squared_error)
	4.1s	 = Training   runtime
	0.08s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T22 ...
	-34.9465	 = Validation score   (root_mean_squared_error)
	6.31s	 = Training   runtime
	0.1s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T23 ...
	-34.9776	 = Validation score   (root_mean_squared_error)
	2.0s	 = Training   runtime
	0.06s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T24 ...
	-34.9496	 = Validation score   (root_mean_squared_error)
	0.56s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T25 ...
	-35.4919	 = Validation score   (root_mean_squared_error)
	0.31s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T26 ...
	-34.8885	 = Validation score   (root_mean_squared_error)
	2.73s	 = Training   runtime
	0.07s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T27 ...
	-35.2552	 = Validation score   (root_mean_squared_error)
	0.23s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T28 ...
	-34.8501	 = Validation score   (root_mean_squared_error)
	3.43s	 = Training   runtime
	0.06s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T29 ...
	-34.8207	 = Validation score   (root_mean_squared_error)
	5.14s	 = Training   runtime
	0.08s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T30 ...
	-35.0602	 = Validation score   (root_mean_squared_error)
	0.71s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T31 ...
	-35.0027	 = Validation score   (root_mean_squared_error)
	9.34s	 = Training   runtime
	0.14s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T32 ...
	-34.8729	 = Validation score   (root_mean_squared_error)
	6.33s	 = Training   runtime
	0.07s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T33 ...
	-34.8144	 = Validation score   (root_mean_squared_error)
	4.82s	 = Training   runtime
	0.09s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T34 ...
	-34.9086	 = Validation score   (root_mean_squared_error)
	4.96s	 = Training   runtime
	0.08s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T35 ...
	-34.9944	 = Validation score   (root_mean_squared_error)
	6.46s	 = Training   runtime
	0.08s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T36 ...
	-34.835	 = Validation score   (root_mean_squared_error)
	2.55s	 = Training   runtime
	0.06s	 = Validation runtime
Fitted model: LightGBM_BAG_L2\T37 ...
	-34.7564	 = Validation score   (root_mean_squared_error)
	3.66s	 = Training   runtime
	0.07s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T0 ... Training model for up to 711.53s of the 1758.47s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.083	 = Validation score   (root_mean_squared_error)
	2.74s	 = Training   runtime
	0.07s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T1 ... Training model for up to 709.16s of the 1756.11s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0782	 = Validation score   (root_mean_squared_error)
	3.33s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T2 ... Training model for up to 706.64s of the 1753.59s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0631	 = Validation score   (root_mean_squared_error)
	4.01s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T3 ... Training model for up to 704.23s of the 1751.17s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0627	 = Validation score   (root_mean_squared_error)
	3.44s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T4 ... Training model for up to 701.69s of the 1748.63s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.1294	 = Validation score   (root_mean_squared_error)
	3.43s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T5 ... Training model for up to 699.21s of the 1746.15s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.087	 = Validation score   (root_mean_squared_error)
	3.06s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T6 ... Training model for up to 696.8s of the 1743.74s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0772	 = Validation score   (root_mean_squared_error)
	3.1s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T7 ... Training model for up to 694.42s of the 1741.37s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.1199	 = Validation score   (root_mean_squared_error)
	3.31s	 = Training   runtime
	0.07s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T8 ... Training model for up to 692.01s of the 1738.96s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0591	 = Validation score   (root_mean_squared_error)
	6.41s	 = Training   runtime
	0.13s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T9 ... Training model for up to 689.42s of the 1736.36s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0737	 = Validation score   (root_mean_squared_error)
	3.05s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T10 ... Training model for up to 686.71s of the 1733.66s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.1126	 = Validation score   (root_mean_squared_error)
	3.01s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T11 ... Training model for up to 684.15s of the 1731.1s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0693	 = Validation score   (root_mean_squared_error)
	4.53s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T12 ... Training model for up to 681.65s of the 1728.6s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0437	 = Validation score   (root_mean_squared_error)
	3.63s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T13 ... Training model for up to 679.26s of the 1726.2s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0308	 = Validation score   (root_mean_squared_error)
	4.97s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T14 ... Training model for up to 676.55s of the 1723.49s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0759	 = Validation score   (root_mean_squared_error)
	3.3s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T15 ... Training model for up to 674.1s of the 1721.05s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0406	 = Validation score   (root_mean_squared_error)
	3.48s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T16 ... Training model for up to 671.76s of the 1718.7s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0253	 = Validation score   (root_mean_squared_error)
	6.95s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T17 ... Training model for up to 669.13s of the 1716.08s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0259	 = Validation score   (root_mean_squared_error)
	7.77s	 = Training   runtime
	0.13s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T18 ... Training model for up to 666.59s of the 1713.53s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0546	 = Validation score   (root_mean_squared_error)
	4.79s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T19 ... Training model for up to 664.2s of the 1711.15s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0609	 = Validation score   (root_mean_squared_error)
	5.68s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T20 ... Training model for up to 661.79s of the 1708.74s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.1235	 = Validation score   (root_mean_squared_error)
	6.79s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T21 ... Training model for up to 659.33s of the 1706.28s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0386	 = Validation score   (root_mean_squared_error)
	6.38s	 = Training   runtime
	0.14s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T22 ... Training model for up to 656.94s of the 1703.89s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0694	 = Validation score   (root_mean_squared_error)
	8.57s	 = Training   runtime
	0.16s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T23 ... Training model for up to 654.58s of the 1701.52s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0758	 = Validation score   (root_mean_squared_error)
	4.54s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T24 ... Training model for up to 651.92s of the 1698.87s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.07	 = Validation score   (root_mean_squared_error)
	2.86s	 = Training   runtime
	0.07s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T25 ... Training model for up to 649.5s of the 1696.45s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.182	 = Validation score   (root_mean_squared_error)
	2.58s	 = Training   runtime
	0.07s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T26 ... Training model for up to 647.12s of the 1694.07s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0575	 = Validation score   (root_mean_squared_error)
	4.99s	 = Training   runtime
	0.13s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T27 ... Training model for up to 644.75s of the 1691.7s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.133	 = Validation score   (root_mean_squared_error)
	2.52s	 = Training   runtime
	0.07s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T28 ... Training model for up to 642.34s of the 1689.29s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0496	 = Validation score   (root_mean_squared_error)
	5.71s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T29 ... Training model for up to 639.95s of the 1686.9s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0436	 = Validation score   (root_mean_squared_error)
	7.65s	 = Training   runtime
	0.14s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T30 ... Training model for up to 637.33s of the 1684.28s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0928	 = Validation score   (root_mean_squared_error)
	3.09s	 = Training   runtime
	0.07s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T31 ... Training model for up to 634.84s of the 1681.79s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0809	 = Validation score   (root_mean_squared_error)
	11.68s	 = Training   runtime
	0.2s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T32 ... Training model for up to 632.39s of the 1679.34s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0543	 = Validation score   (root_mean_squared_error)
	8.59s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T33 ... Training model for up to 630.02s of the 1676.97s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0423	 = Validation score   (root_mean_squared_error)
	7.76s	 = Training   runtime
	0.16s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T34 ... Training model for up to 626.96s of the 1673.91s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0616	 = Validation score   (root_mean_squared_error)
	7.22s	 = Training   runtime
	0.14s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T35 ... Training model for up to 624.59s of the 1671.54s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0792	 = Validation score   (root_mean_squared_error)
	8.8s	 = Training   runtime
	0.14s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T36 ... Training model for up to 622.15s of the 1669.09s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0465	 = Validation score   (root_mean_squared_error)
	5.13s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L2\T37 ... Training model for up to 619.44s of the 1666.39s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.0305	 = Validation score   (root_mean_squared_error)
	6.06s	 = Training   runtime
	0.13s	 = Validation runtime
Fitting model: WeightedEnsemble_L3 ... Training model for up to 360.0s of the 1663.7s of remaining time.
	-33.9944	 = Validation score   (root_mean_squared_error)
	0.31s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 1 L3 models ...
Hyperparameter tuning model: LightGBM_BAG_L3 ...
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 14
[LightGBM] [Warning] min_data_in_leaf is set=25, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=25
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 35
[LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 42
[LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 69
[LightGBM] [Warning] min_data_in_leaf is set=23, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=23
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 23
[LightGBM] [Warning] min_data_in_leaf is set=25, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=25
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 89
[LightGBM] [Warning] min_data_in_leaf is set=21, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=21
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 29
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 31.2341	valid_set's rmse: 36.0425
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 28.2101	valid_set's rmse: 36.4005
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 60
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 97
[LightGBM] [Warning] min_data_in_leaf is set=5, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=5
[1000]	train_set's rmse: 32.0735	valid_set's rmse: 36.1138
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
[LightGBM] [Warning] min_data_in_leaf is set=19, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=19
[1000]	train_set's rmse: 18.3798	valid_set's rmse: 36.4831
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 58
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 58
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 84
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 32.031	valid_set's rmse: 36.1212
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 82
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 16.5716	valid_set's rmse: 36.6824
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 93
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 83
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 39
[LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 36
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 32.0177	valid_set's rmse: 36.0923
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
[1000]	train_set's rmse: 32.1847	valid_set's rmse: 36.1371
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 62
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
[1000]	train_set's rmse: 29.2274	valid_set's rmse: 36.5437
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 30
[LightGBM] [Warning] min_data_in_leaf is set=23, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=23
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 68
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 70
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=8, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=8
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 38
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 81
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 31.011	valid_set's rmse: 36.0485
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
[1000]	train_set's rmse: 32.1788	valid_set's rmse: 36.1283
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 33
[LightGBM] [Warning] min_data_in_leaf is set=27, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=27
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 45
[LightGBM] [Warning] min_data_in_leaf is set=24, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=24
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 23
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 78
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 96
[LightGBM] [Warning] min_data_in_leaf is set=6, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=6
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 73
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 57
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 86
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 68
[LightGBM] [Warning] min_data_in_leaf is set=5, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=5
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 16
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
[1000]	train_set's rmse: 29.0247	valid_set's rmse: 36.5497
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 70
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 17
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 32.0362	valid_set's rmse: 36.0926
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 31
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 97
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 52
[LightGBM] [Warning] min_data_in_leaf is set=26, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=26
[1000]	train_set's rmse: 32.1541	valid_set's rmse: 36.1383
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 36
[LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
[1000]	train_set's rmse: 32.1635	valid_set's rmse: 36.135
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 52
[LightGBM] [Warning] min_data_in_leaf is set=28, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=28
[1000]	train_set's rmse: 32.1586	valid_set's rmse: 36.1376
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 43
[LightGBM] [Warning] min_data_in_leaf is set=27, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=27
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 68
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 57
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 36
[LightGBM] [Warning] min_data_in_leaf is set=23, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=23
[1000]	train_set's rmse: 31.1164	valid_set's rmse: 36.3351
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 43
[LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 87
[LightGBM] [Warning] min_data_in_leaf is set=5, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=5
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 67
[LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 28
[LightGBM] [Warning] min_data_in_leaf is set=5, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=5
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 21
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 31.7871	valid_set's rmse: 36.0596
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 43
[LightGBM] [Warning] min_data_in_leaf is set=5, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=5
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 95
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 51
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 81
[LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 43
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 88
[LightGBM] [Warning] min_data_in_leaf is set=3, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=3
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=17, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=17
[1000]	train_set's rmse: 32.1531	valid_set's rmse: 36.0907
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 79
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 31.537	valid_set's rmse: 36.0592
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 71
[LightGBM] [Warning] min_data_in_leaf is set=9, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=9
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 33
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 96
[LightGBM] [Warning] min_data_in_leaf is set=7, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=7
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 18
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
[1000]	train_set's rmse: 32.1636	valid_set's rmse: 36.1245
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 41
[LightGBM] [Warning] min_data_in_leaf is set=3, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=3
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 63
[LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 31.4191	valid_set's rmse: 36.0378
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 94
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 13
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 64
[LightGBM] [Warning] min_data_in_leaf is set=3, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=3
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 75
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 19
[LightGBM] [Warning] min_data_in_leaf is set=3, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=3
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 43
[LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
	Ran out of time, early stopping on iteration 734. Best iteration is:
	[734]	train_set's rmse: 19.196	valid_set's rmse: 37.1933
	Time limit exceeded
Fitted model: LightGBM_BAG_L3\T0 ...
	-36.6422	 = Validation score   (root_mean_squared_error)
	0.58s	 = Training   runtime
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Fitted model: LightGBM_BAG_L3\T1 ...
	-36.4983	 = Validation score   (root_mean_squared_error)
	1.24s	 = Training   runtime
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Fitted model: LightGBM_BAG_L3\T2 ...
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	1.91s	 = Training   runtime
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Fitted model: LightGBM_BAG_L3\T3 ...
	-36.5655	 = Validation score   (root_mean_squared_error)
	1.65s	 = Training   runtime
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Fitted model: LightGBM_BAG_L3\T4 ...
	-36.5212	 = Validation score   (root_mean_squared_error)
	6.07s	 = Training   runtime
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Fitted model: LightGBM_BAG_L3\T5 ...
	-36.388	 = Validation score   (root_mean_squared_error)
	4.99s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T6 ...
	-36.5895	 = Validation score   (root_mean_squared_error)
	0.97s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T7 ...
	-36.0202	 = Validation score   (root_mean_squared_error)
	1.01s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T8 ...
	-36.3326	 = Validation score   (root_mean_squared_error)
	2.51s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T9 ...
	-36.1465	 = Validation score   (root_mean_squared_error)
	1.03s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T10 ...
	-36.065	 = Validation score   (root_mean_squared_error)
	1.64s	 = Training   runtime
	0.06s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T11 ...
	-36.4016	 = Validation score   (root_mean_squared_error)
	8.17s	 = Training   runtime
	0.08s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T12 ...
	-36.4975	 = Validation score   (root_mean_squared_error)
	3.21s	 = Training   runtime
	0.04s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T13 ...
	-36.099	 = Validation score   (root_mean_squared_error)
	0.45s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T14 ...
	-36.0541	 = Validation score   (root_mean_squared_error)
	1.59s	 = Training   runtime
	0.08s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T15 ...
	-36.6152	 = Validation score   (root_mean_squared_error)
	9.94s	 = Training   runtime
	0.08s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T16 ...
	-36.0359	 = Validation score   (root_mean_squared_error)
	0.73s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T17 ...
	-36.0334	 = Validation score   (root_mean_squared_error)
	0.75s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T18 ...
	-36.0423	 = Validation score   (root_mean_squared_error)
	0.85s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T19 ...
	-36.079	 = Validation score   (root_mean_squared_error)
	0.77s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T20 ...
	-36.0483	 = Validation score   (root_mean_squared_error)
	0.26s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T21 ...
	-36.0427	 = Validation score   (root_mean_squared_error)
	1.92s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T22 ...
	-36.1218	 = Validation score   (root_mean_squared_error)
	1.24s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T23 ...
	-36.1206	 = Validation score   (root_mean_squared_error)
	0.49s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T24 ...
	-36.4327	 = Validation score   (root_mean_squared_error)
	2.14s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T25 ...
	-35.9645	 = Validation score   (root_mean_squared_error)
	0.48s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T26 ...
	-36.0214	 = Validation score   (root_mean_squared_error)
	0.71s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T27 ...
	-36.2088	 = Validation score   (root_mean_squared_error)
	0.25s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T28 ...
	-36.9281	 = Validation score   (root_mean_squared_error)
	0.86s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T29 ...
	-35.9022	 = Validation score   (root_mean_squared_error)
	0.3s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T30 ...
	-36.0483	 = Validation score   (root_mean_squared_error)
	0.26s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T31 ...
	-36.2228	 = Validation score   (root_mean_squared_error)
	0.25s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T32 ...
	-36.0444	 = Validation score   (root_mean_squared_error)
	0.3s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T33 ...
	-36.1242	 = Validation score   (root_mean_squared_error)
	0.26s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T34 ...
	-36.0397	 = Validation score   (root_mean_squared_error)
	0.69s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T35 ...
	-36.0418	 = Validation score   (root_mean_squared_error)
	1.1s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T36 ...
	-36.1175	 = Validation score   (root_mean_squared_error)
	1.23s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T37 ...
	-36.108	 = Validation score   (root_mean_squared_error)
	0.84s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T38 ...
	-36.1068	 = Validation score   (root_mean_squared_error)
	0.61s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T39 ...
	-36.0528	 = Validation score   (root_mean_squared_error)
	0.35s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T40 ...
	-36.0415	 = Validation score   (root_mean_squared_error)
	0.42s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T41 ...
	-36.0568	 = Validation score   (root_mean_squared_error)
	0.36s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T42 ...
	-35.9601	 = Validation score   (root_mean_squared_error)
	0.54s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T43 ...
	-36.093	 = Validation score   (root_mean_squared_error)
	0.56s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T44 ...
	-35.9481	 = Validation score   (root_mean_squared_error)
	0.92s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T45 ...
	-36.1064	 = Validation score   (root_mean_squared_error)
	0.66s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T46 ...
	-37.1125	 = Validation score   (root_mean_squared_error)
	0.73s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T47 ...
	-36.0745	 = Validation score   (root_mean_squared_error)
	0.8s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T48 ...
	-36.4923	 = Validation score   (root_mean_squared_error)
	3.09s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T49 ...
	-36.0812	 = Validation score   (root_mean_squared_error)
	0.46s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T50 ...
	-35.9691	 = Validation score   (root_mean_squared_error)
	1.98s	 = Training   runtime
	0.06s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T51 ...
	-35.95	 = Validation score   (root_mean_squared_error)
	0.36s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T52 ...
	-36.0522	 = Validation score   (root_mean_squared_error)
	0.29s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T53 ...
	-36.1174	 = Validation score   (root_mean_squared_error)
	1.24s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T54 ...
	-36.1172	 = Validation score   (root_mean_squared_error)
	1.23s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T55 ...
	-36.1204	 = Validation score   (root_mean_squared_error)
	1.25s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T56 ...
	-36.6009	 = Validation score   (root_mean_squared_error)
	0.57s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T57 ...
	-36.0018	 = Validation score   (root_mean_squared_error)
	0.36s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T58 ...
	-35.8802	 = Validation score   (root_mean_squared_error)
	0.38s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T59 ...
	-36.2526	 = Validation score   (root_mean_squared_error)
	1.44s	 = Training   runtime
	0.04s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T60 ...
	-35.9069	 = Validation score   (root_mean_squared_error)
	0.4s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T61 ...
	-35.8788	 = Validation score   (root_mean_squared_error)
	0.36s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T62 ...
	-36.0703	 = Validation score   (root_mean_squared_error)
	0.53s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T63 ...
	-36.1124	 = Validation score   (root_mean_squared_error)
	0.38s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T64 ...
	-36.1308	 = Validation score   (root_mean_squared_error)
	0.44s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T65 ...
	-36.0772	 = Validation score   (root_mean_squared_error)
	1.36s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T66 ...
	-36.0525	 = Validation score   (root_mean_squared_error)
	1.49s	 = Training   runtime
	0.04s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T67 ...
	-36.0952	 = Validation score   (root_mean_squared_error)
	0.3s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T68 ...
	-36.7233	 = Validation score   (root_mean_squared_error)
	8.77s	 = Training   runtime
	0.07s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T69 ...
	-35.962	 = Validation score   (root_mean_squared_error)
	0.41s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T70 ...
	-36.0733	 = Validation score   (root_mean_squared_error)
	0.48s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T71 ...
	-35.9724	 = Validation score   (root_mean_squared_error)
	0.79s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T72 ...
	-36.08	 = Validation score   (root_mean_squared_error)
	0.88s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T73 ...
	-36.0783	 = Validation score   (root_mean_squared_error)
	1.5s	 = Training   runtime
	0.04s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T74 ...
	-36.0486	 = Validation score   (root_mean_squared_error)
	1.14s	 = Training   runtime
	0.04s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T75 ...
	-36.0106	 = Validation score   (root_mean_squared_error)
	0.31s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T76 ...
	-36.0511	 = Validation score   (root_mean_squared_error)
	0.92s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T77 ...
	-36.1641	 = Validation score   (root_mean_squared_error)
	0.76s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T78 ...
	-36.4452	 = Validation score   (root_mean_squared_error)
	5.59s	 = Training   runtime
	0.06s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T79 ...
	-36.1099	 = Validation score   (root_mean_squared_error)
	1.52s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T80 ...
	-36.0368	 = Validation score   (root_mean_squared_error)
	0.29s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T81 ...
	-36.0879	 = Validation score   (root_mean_squared_error)
	0.55s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T82 ...
	-36.1246	 = Validation score   (root_mean_squared_error)
	0.41s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T83 ...
	-36.0232	 = Validation score   (root_mean_squared_error)
	1.24s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T84 ...
	-36.0763	 = Validation score   (root_mean_squared_error)
	0.28s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T85 ...
	-35.9202	 = Validation score   (root_mean_squared_error)
	0.37s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T86 ...
	-36.1279	 = Validation score   (root_mean_squared_error)
	0.55s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T87 ...
	-35.9484	 = Validation score   (root_mean_squared_error)
	0.48s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T88 ...
	-36.0004	 = Validation score   (root_mean_squared_error)
	0.4s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T89 ...
	-36.4255	 = Validation score   (root_mean_squared_error)
	2.29s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T90 ...
	-36.0623	 = Validation score   (root_mean_squared_error)
	0.43s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T91 ...
	-36.1349	 = Validation score   (root_mean_squared_error)
	0.36s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L3\T92 ...
	-37.1933	 = Validation score   (root_mean_squared_error)
	8.57s	 = Training   runtime
	0.06s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T0 ... Training model for up to 940.25s of the 1494.96s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.8507	 = Validation score   (root_mean_squared_error)
	4.54s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T1 ... Training model for up to 936.15s of the 1490.86s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.8205	 = Validation score   (root_mean_squared_error)
	4.47s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T2 ... Training model for up to 932.74s of the 1487.44s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7999	 = Validation score   (root_mean_squared_error)
	4.94s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T3 ... Training model for up to 929.55s of the 1484.26s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.8346	 = Validation score   (root_mean_squared_error)
	4.41s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T4 ... Training model for up to 926.65s of the 1481.36s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.8253	 = Validation score   (root_mean_squared_error)
	8.92s	 = Training   runtime
	0.13s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T5 ... Training model for up to 923.67s of the 1478.38s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7974	 = Validation score   (root_mean_squared_error)
	8.0s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T6 ... Training model for up to 920.52s of the 1475.23s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.8397	 = Validation score   (root_mean_squared_error)
	3.96s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T7 ... Training model for up to 917.39s of the 1472.1s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7208	 = Validation score   (root_mean_squared_error)
	3.69s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T8 ... Training model for up to 914.57s of the 1469.28s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7858	 = Validation score   (root_mean_squared_error)
	5.46s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T9 ... Training model for up to 911.49s of the 1466.2s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.747	 = Validation score   (root_mean_squared_error)
	3.67s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T10 ... Training model for up to 908.7s of the 1463.41s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7301	 = Validation score   (root_mean_squared_error)
	4.93s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T11 ... Training model for up to 905.29s of the 1459.99s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.8003	 = Validation score   (root_mean_squared_error)
	10.95s	 = Training   runtime
	0.15s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T12 ... Training model for up to 902.38s of the 1457.09s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.8203	 = Validation score   (root_mean_squared_error)
	5.99s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T13 ... Training model for up to 899.48s of the 1454.19s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7371	 = Validation score   (root_mean_squared_error)
	3.27s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T14 ... Training model for up to 896.54s of the 1451.25s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7278	 = Validation score   (root_mean_squared_error)
	4.3s	 = Training   runtime
	0.14s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T15 ... Training model for up to 893.71s of the 1448.41s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.845	 = Validation score   (root_mean_squared_error)
	12.83s	 = Training   runtime
	0.15s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T16 ... Training model for up to 890.69s of the 1445.39s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.724	 = Validation score   (root_mean_squared_error)
	3.66s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T17 ... Training model for up to 887.62s of the 1442.33s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7235	 = Validation score   (root_mean_squared_error)
	3.65s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T18 ... Training model for up to 884.59s of the 1439.3s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7253	 = Validation score   (root_mean_squared_error)
	3.54s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T19 ... Training model for up to 881.78s of the 1436.48s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.733	 = Validation score   (root_mean_squared_error)
	4.18s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T20 ... Training model for up to 878.23s of the 1432.94s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7266	 = Validation score   (root_mean_squared_error)
	2.93s	 = Training   runtime
	0.07s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T21 ... Training model for up to 875.4s of the 1430.11s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7254	 = Validation score   (root_mean_squared_error)
	5.07s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T22 ... Training model for up to 872.09s of the 1426.8s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7419	 = Validation score   (root_mean_squared_error)
	4.09s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T23 ... Training model for up to 869.11s of the 1423.82s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7416	 = Validation score   (root_mean_squared_error)
	3.31s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T24 ... Training model for up to 866.16s of the 1420.87s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.8068	 = Validation score   (root_mean_squared_error)
	5.01s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T25 ... Training model for up to 863.16s of the 1417.87s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7092	 = Validation score   (root_mean_squared_error)
	3.4s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T26 ... Training model for up to 860.12s of the 1414.82s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.721	 = Validation score   (root_mean_squared_error)
	3.73s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T27 ... Training model for up to 856.96s of the 1411.67s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.76	 = Validation score   (root_mean_squared_error)
	3.29s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T28 ... Training model for up to 853.79s of the 1408.49s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.9111	 = Validation score   (root_mean_squared_error)
	3.55s	 = Training   runtime
	0.07s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T29 ... Training model for up to 850.96s of the 1405.67s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.6963	 = Validation score   (root_mean_squared_error)
	3.24s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T30 ... Training model for up to 847.9s of the 1402.61s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7266	 = Validation score   (root_mean_squared_error)
	2.93s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T31 ... Training model for up to 845.11s of the 1399.82s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7629	 = Validation score   (root_mean_squared_error)
	3.15s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T32 ... Training model for up to 842.08s of the 1396.79s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7258	 = Validation score   (root_mean_squared_error)
	3.2s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T33 ... Training model for up to 839.05s of the 1393.75s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7424	 = Validation score   (root_mean_squared_error)
	3.15s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T34 ... Training model for up to 836.03s of the 1390.74s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7248	 = Validation score   (root_mean_squared_error)
	3.35s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T35 ... Training model for up to 833.24s of the 1387.95s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7252	 = Validation score   (root_mean_squared_error)
	4.08s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T36 ... Training model for up to 830.13s of the 1384.83s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.741	 = Validation score   (root_mean_squared_error)
	3.87s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T37 ... Training model for up to 827.36s of the 1382.07s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.739	 = Validation score   (root_mean_squared_error)
	3.97s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T38 ... Training model for up to 824.09s of the 1378.8s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7388	 = Validation score   (root_mean_squared_error)
	3.71s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T39 ... Training model for up to 820.85s of the 1375.56s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7275	 = Validation score   (root_mean_squared_error)
	3.38s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T40 ... Training model for up to 817.69s of the 1372.4s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7252	 = Validation score   (root_mean_squared_error)
	3.06s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T41 ... Training model for up to 814.86s of the 1369.57s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7284	 = Validation score   (root_mean_squared_error)
	3.2s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T42 ... Training model for up to 811.75s of the 1366.46s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7083	 = Validation score   (root_mean_squared_error)
	3.67s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T43 ... Training model for up to 808.48s of the 1363.19s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7359	 = Validation score   (root_mean_squared_error)
	3.72s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T44 ... Training model for up to 805.19s of the 1359.89s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7058	 = Validation score   (root_mean_squared_error)
	3.64s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T45 ... Training model for up to 802.34s of the 1357.05s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7387	 = Validation score   (root_mean_squared_error)
	3.49s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T46 ... Training model for up to 799.38s of the 1354.09s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.9502	 = Validation score   (root_mean_squared_error)
	3.63s	 = Training   runtime
	0.07s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T47 ... Training model for up to 796.36s of the 1351.06s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.732	 = Validation score   (root_mean_squared_error)
	3.77s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T48 ... Training model for up to 793.25s of the 1347.96s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.8193	 = Validation score   (root_mean_squared_error)
	5.84s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T49 ... Training model for up to 790.37s of the 1345.08s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7334	 = Validation score   (root_mean_squared_error)
	3.27s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T50 ... Training model for up to 787.39s of the 1342.1s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7102	 = Validation score   (root_mean_squared_error)
	4.84s	 = Training   runtime
	0.13s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T51 ... Training model for up to 784.41s of the 1339.12s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7062	 = Validation score   (root_mean_squared_error)
	3.22s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T52 ... Training model for up to 781.43s of the 1336.14s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7274	 = Validation score   (root_mean_squared_error)
	3.12s	 = Training   runtime
	0.07s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T53 ... Training model for up to 778.47s of the 1333.18s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.741	 = Validation score   (root_mean_squared_error)
	4.31s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T54 ... Training model for up to 775.26s of the 1329.97s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7409	 = Validation score   (root_mean_squared_error)
	4.15s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T55 ... Training model for up to 772.2s of the 1326.91s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7416	 = Validation score   (root_mean_squared_error)
	3.92s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T56 ... Training model for up to 769.41s of the 1324.11s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.8421	 = Validation score   (root_mean_squared_error)
	3.43s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T57 ... Training model for up to 766.42s of the 1321.13s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7169	 = Validation score   (root_mean_squared_error)
	3.18s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T58 ... Training model for up to 763.48s of the 1318.19s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.6918	 = Validation score   (root_mean_squared_error)
	3.98s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T59 ... Training model for up to 759.74s of the 1314.45s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7691	 = Validation score   (root_mean_squared_error)
	4.18s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T60 ... Training model for up to 756.83s of the 1311.54s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.6973	 = Validation score   (root_mean_squared_error)
	3.29s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T61 ... Training model for up to 753.61s of the 1308.32s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.6914	 = Validation score   (root_mean_squared_error)
	2.99s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T62 ... Training model for up to 750.86s of the 1305.56s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7312	 = Validation score   (root_mean_squared_error)
	4.33s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T63 ... Training model for up to 746.91s of the 1301.61s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7399	 = Validation score   (root_mean_squared_error)
	3.24s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T64 ... Training model for up to 743.92s of the 1298.63s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7438	 = Validation score   (root_mean_squared_error)
	4.46s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T65 ... Training model for up to 739.76s of the 1294.47s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7326	 = Validation score   (root_mean_squared_error)
	4.55s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T66 ... Training model for up to 736.44s of the 1291.15s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7275	 = Validation score   (root_mean_squared_error)
	4.61s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T67 ... Training model for up to 733.18s of the 1287.89s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7363	 = Validation score   (root_mean_squared_error)
	3.54s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T68 ... Training model for up to 729.79s of the 1284.5s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.8678	 = Validation score   (root_mean_squared_error)
	11.66s	 = Training   runtime
	0.14s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T69 ... Training model for up to 726.77s of the 1281.48s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7087	 = Validation score   (root_mean_squared_error)
	3.32s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T70 ... Training model for up to 723.73s of the 1278.44s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7318	 = Validation score   (root_mean_squared_error)
	3.19s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T71 ... Training model for up to 720.89s of the 1275.6s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7109	 = Validation score   (root_mean_squared_error)
	3.65s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T72 ... Training model for up to 717.91s of the 1272.62s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7332	 = Validation score   (root_mean_squared_error)
	3.53s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T73 ... Training model for up to 715.13s of the 1269.83s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7328	 = Validation score   (root_mean_squared_error)
	4.45s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T74 ... Training model for up to 712.05s of the 1266.76s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7267	 = Validation score   (root_mean_squared_error)
	4.03s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T75 ... Training model for up to 709.04s of the 1263.74s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7188	 = Validation score   (root_mean_squared_error)
	3.14s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T76 ... Training model for up to 706.07s of the 1260.77s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7272	 = Validation score   (root_mean_squared_error)
	3.69s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T77 ... Training model for up to 703.18s of the 1257.88s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7507	 = Validation score   (root_mean_squared_error)
	3.98s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T78 ... Training model for up to 699.82s of the 1254.53s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.8094	 = Validation score   (root_mean_squared_error)
	8.51s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T79 ... Training model for up to 696.78s of the 1251.49s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7394	 = Validation score   (root_mean_squared_error)
	4.4s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T80 ... Training model for up to 693.76s of the 1248.47s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7242	 = Validation score   (root_mean_squared_error)
	3.26s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T81 ... Training model for up to 690.67s of the 1245.38s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7348	 = Validation score   (root_mean_squared_error)
	3.29s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T82 ... Training model for up to 687.8s of the 1242.51s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7424	 = Validation score   (root_mean_squared_error)
	3.06s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T83 ... Training model for up to 685.03s of the 1239.74s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7214	 = Validation score   (root_mean_squared_error)
	4.07s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T84 ... Training model for up to 682.07s of the 1236.78s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7324	 = Validation score   (root_mean_squared_error)
	3.21s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T85 ... Training model for up to 679.02s of the 1233.73s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7	 = Validation score   (root_mean_squared_error)
	3.24s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T86 ... Training model for up to 676.01s of the 1230.72s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7431	 = Validation score   (root_mean_squared_error)
	3.33s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T87 ... Training model for up to 673.11s of the 1227.82s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7059	 = Validation score   (root_mean_squared_error)
	3.18s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T88 ... Training model for up to 670.28s of the 1224.98s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7167	 = Validation score   (root_mean_squared_error)
	3.21s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T89 ... Training model for up to 667.35s of the 1222.05s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.8052	 = Validation score   (root_mean_squared_error)
	5.28s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T90 ... Training model for up to 664.21s of the 1218.92s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7295	 = Validation score   (root_mean_squared_error)
	3.17s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T91 ... Training model for up to 661.34s of the 1216.05s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.7446	 = Validation score   (root_mean_squared_error)
	3.08s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L3\T92 ... Training model for up to 658.49s of the 1213.2s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-34.9673	 = Validation score   (root_mean_squared_error)
	11.26s	 = Training   runtime
	0.13s	 = Validation runtime
Fitting model: WeightedEnsemble_L4 ... Training model for up to 360.0s of the 1209.94s of remaining time.
	-34.6869	 = Validation score   (root_mean_squared_error)
	0.32s	 = Training   runtime
	0.0s	 = Validation runtime
Fitting 1 L4 models ...
Hyperparameter tuning model: LightGBM_BAG_L4 ...
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 14
[LightGBM] [Warning] min_data_in_leaf is set=25, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=25
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 35
[LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 42
[LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 14
[LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 23
[LightGBM] [Warning] min_data_in_leaf is set=25, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=25
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 62
[LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 67
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 84
[LightGBM] [Warning] min_data_in_leaf is set=25, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=25
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 15
[LightGBM] [Warning] min_data_in_leaf is set=6, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=6
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 39
[LightGBM] [Warning] min_data_in_leaf is set=26, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=26
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=27, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=27
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 43
[LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 62
[LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 71
[LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 60
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 91
[LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 39
[LightGBM] [Warning] min_data_in_leaf is set=9, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=9
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=10, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=10
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 88
[LightGBM] [Warning] min_data_in_leaf is set=11, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=11
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=21, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=21
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 21
[LightGBM] [Warning] min_data_in_leaf is set=19, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=19
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=10, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=10
[1000]	train_set's rmse: 31.7494	valid_set's rmse: 35.0994
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 66
[LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=30, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=30
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 75
[LightGBM] [Warning] min_data_in_leaf is set=11, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=11
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 49
[LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=11, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=11
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 81
[LightGBM] [Warning] min_data_in_leaf is set=9, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=9
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 27
[LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 41
[LightGBM] [Warning] min_data_in_leaf is set=10, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=10
[1000]	train_set's rmse: 31.7659	valid_set's rmse: 35.1128
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 62
[LightGBM] [Warning] min_data_in_leaf is set=11, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=11
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 66
[LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 38
[LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 34
[LightGBM] [Warning] min_data_in_leaf is set=13, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=13
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 96
[LightGBM] [Warning] min_data_in_leaf is set=13, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=13
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 73
[LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 83
[LightGBM] [Warning] min_data_in_leaf is set=13, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=13
[1000]	train_set's rmse: 31.901	valid_set's rmse: 35.1393
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 56
[LightGBM] [Warning] min_data_in_leaf is set=13, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=13
[1000]	train_set's rmse: 31.8848	valid_set's rmse: 35.1153
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 60
[LightGBM] [Warning] min_data_in_leaf is set=17, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=17
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 70
[LightGBM] [Warning] min_data_in_leaf is set=17, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=17
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 81
[LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=29, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=29
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=28, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=28
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 76
[LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 85
[LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 67
[LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 89
[LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 21
[LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 30
[LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 78
[LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 15
[LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 77
[LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 32
[LightGBM] [Warning] min_data_in_leaf is set=25, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=25
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=24, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=24
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=18, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=18
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 20
[LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 81
[LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 79
[LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 26
[LightGBM] [Warning] min_data_in_leaf is set=14, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=14
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 35
[LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 38
[LightGBM] [Warning] min_data_in_leaf is set=20, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=20
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 71
[LightGBM] [Warning] min_data_in_leaf is set=9, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=9
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 44
[LightGBM] [Warning] min_data_in_leaf is set=15, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=15
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 54
[LightGBM] [Warning] min_data_in_leaf is set=21, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=21
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 60
[LightGBM] [Warning] min_data_in_leaf is set=13, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=13
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 59
[LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 12
[LightGBM] [Warning] min_data_in_leaf is set=10, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=10
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 41
[LightGBM] [Warning] min_data_in_leaf is set=9, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=9
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 100
[LightGBM] [Warning] min_data_in_leaf is set=16, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=16
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 33
[LightGBM] [Warning] min_data_in_leaf is set=8, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=8
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 62
[LightGBM] [Warning] min_data_in_leaf is set=7, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=7
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 65
[LightGBM] [Warning] min_data_in_leaf is set=7, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=7
[1000]	train_set's rmse: 32.752	valid_set's rmse: 34.7743
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 21
[LightGBM] [Warning] min_data_in_leaf is set=7, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=7
[1000]	train_set's rmse: 33.127	valid_set's rmse: 34.815
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 73
[LightGBM] [Warning] min_data_in_leaf is set=6, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=6
[1000]	train_set's rmse: 33.065	valid_set's rmse: 34.8017
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 67
[LightGBM] [Warning] min_data_in_leaf is set=12, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=12
[1000]	train_set's rmse: 33.1703	valid_set's rmse: 34.857
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 32
[LightGBM] [Warning] min_data_in_leaf is set=3, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=3
[1000]	train_set's rmse: 32.2528	valid_set's rmse: 34.9145
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 19
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
[1000]	train_set's rmse: 32.2155	valid_set's rmse: 34.869
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 79
[LightGBM] [Warning] min_data_in_leaf is set=3, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=3
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 87
[LightGBM] [Warning] min_data_in_leaf is set=2, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=2
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 95
[LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4
[1000]	train_set's rmse: 32.6136	valid_set's rmse: 34.8475
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 93
[LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 28
[LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 16
[LightGBM] [Warning] min_data_in_leaf is set=4, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=4
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 39
[LightGBM] [Warning] min_data_in_leaf is set=5, min_samples_leaf= will be ignored. Current value: min_data_in_leaf=5
	Time limit exceeded
Fitted model: LightGBM_BAG_L4\T0 ...
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	-35.0567	 = Validation score   (root_mean_squared_error)
	2.35s	 = Training   runtime
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	1.47s	 = Training   runtime
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	-35.793	 = Validation score   (root_mean_squared_error)
	4.84s	 = Training   runtime
	0.04s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T63 ...
	-35.0677	 = Validation score   (root_mean_squared_error)
	1.52s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T64 ...
	-35.0789	 = Validation score   (root_mean_squared_error)
	1.52s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T65 ...
	-35.0636	 = Validation score   (root_mean_squared_error)
	1.39s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T66 ...
	-35.0576	 = Validation score   (root_mean_squared_error)
	0.75s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T67 ...
	-35.1176	 = Validation score   (root_mean_squared_error)
	0.65s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T68 ...
	-35.1267	 = Validation score   (root_mean_squared_error)
	0.49s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T69 ...
	-35.087	 = Validation score   (root_mean_squared_error)
	1.57s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T70 ...
	-35.0364	 = Validation score   (root_mean_squared_error)
	1.9s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T71 ...
	-35.0703	 = Validation score   (root_mean_squared_error)
	2.03s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T72 ...
	-35.0503	 = Validation score   (root_mean_squared_error)
	1.55s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T73 ...
	-35.072	 = Validation score   (root_mean_squared_error)
	2.44s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T74 ...
	-35.13	 = Validation score   (root_mean_squared_error)
	0.55s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T75 ...
	-34.926	 = Validation score   (root_mean_squared_error)
	0.36s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T76 ...
	-34.8366	 = Validation score   (root_mean_squared_error)
	0.55s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T77 ...
	-35.0034	 = Validation score   (root_mean_squared_error)
	0.39s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T78 ...
	-34.8836	 = Validation score   (root_mean_squared_error)
	1.14s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T79 ...
	-34.8289	 = Validation score   (root_mean_squared_error)
	0.59s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T80 ...
	-34.8291	 = Validation score   (root_mean_squared_error)
	0.53s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T81 ...
	-34.8643	 = Validation score   (root_mean_squared_error)
	0.6s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T82 ...
	-34.9248	 = Validation score   (root_mean_squared_error)
	0.49s	 = Training   runtime
	0.01s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T83 ...
	-34.8022	 = Validation score   (root_mean_squared_error)
	0.88s	 = Training   runtime
	0.02s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T84 ...
	-34.7835	 = Validation score   (root_mean_squared_error)
	1.22s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T85 ...
	-34.7642	 = Validation score   (root_mean_squared_error)
	1.8s	 = Training   runtime
	0.04s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T86 ...
	-34.7962	 = Validation score   (root_mean_squared_error)
	1.68s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T87 ...
	-34.7851	 = Validation score   (root_mean_squared_error)
	2.2s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T88 ...
	-34.8387	 = Validation score   (root_mean_squared_error)
	1.71s	 = Training   runtime
	0.04s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T89 ...
	-34.7774	 = Validation score   (root_mean_squared_error)
	1.59s	 = Training   runtime
	0.04s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T90 ...
	-34.8027	 = Validation score   (root_mean_squared_error)
	1.75s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T91 ...
	-34.7619	 = Validation score   (root_mean_squared_error)
	1.55s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T92 ...
	-34.8481	 = Validation score   (root_mean_squared_error)
	1.17s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T93 ...
	-34.8061	 = Validation score   (root_mean_squared_error)
	2.02s	 = Training   runtime
	0.05s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T94 ...
	-34.8133	 = Validation score   (root_mean_squared_error)
	1.38s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T95 ...
	-34.8112	 = Validation score   (root_mean_squared_error)
	1.36s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T96 ...
	-34.8243	 = Validation score   (root_mean_squared_error)
	1.36s	 = Training   runtime
	0.03s	 = Validation runtime
Fitted model: LightGBM_BAG_L4\T97 ...
	-34.7958	 = Validation score   (root_mean_squared_error)
	1.28s	 = Training   runtime
	0.03s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T0 ... Training model for up to 1029.6s of the 1029.55s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.6463	 = Validation score   (root_mean_squared_error)
	5.68s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T1 ... Training model for up to 1024.67s of the 1024.62s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.6683	 = Validation score   (root_mean_squared_error)
	6.43s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T2 ... Training model for up to 1020.07s of the 1020.01s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.6621	 = Validation score   (root_mean_squared_error)
	7.84s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T3 ... Training model for up to 1015.11s of the 1015.05s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.6928	 = Validation score   (root_mean_squared_error)
	7.41s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T4 ... Training model for up to 1009.59s of the 1009.53s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.556	 = Validation score   (root_mean_squared_error)
	6.24s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T5 ... Training model for up to 1004.58s of the 1004.52s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.68	 = Validation score   (root_mean_squared_error)
	13.51s	 = Training   runtime
	0.14s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T6 ... Training model for up to 1000.03s of the 999.98s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5469	 = Validation score   (root_mean_squared_error)
	5.59s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T7 ... Training model for up to 995.08s of the 995.03s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.6061	 = Validation score   (root_mean_squared_error)
	5.06s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T8 ... Training model for up to 990.41s of the 990.35s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.6776	 = Validation score   (root_mean_squared_error)
	5.48s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T9 ... Training model for up to 985.55s of the 985.49s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5525	 = Validation score   (root_mean_squared_error)
	5.23s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T10 ... Training model for up to 981.06s of the 981.01s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5575	 = Validation score   (root_mean_squared_error)
	5.47s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T11 ... Training model for up to 976.31s of the 976.25s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5816	 = Validation score   (root_mean_squared_error)
	5.42s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T12 ... Training model for up to 971.81s of the 971.76s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5611	 = Validation score   (root_mean_squared_error)
	5.94s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T13 ... Training model for up to 967.3s of the 967.25s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5514	 = Validation score   (root_mean_squared_error)
	5.36s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T14 ... Training model for up to 962.62s of the 962.57s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5523	 = Validation score   (root_mean_squared_error)
	5.37s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T15 ... Training model for up to 958.0s of the 957.94s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5523	 = Validation score   (root_mean_squared_error)
	6.61s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T16 ... Training model for up to 952.51s of the 952.46s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5492	 = Validation score   (root_mean_squared_error)
	6.09s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T17 ... Training model for up to 947.71s of the 947.65s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.6462	 = Validation score   (root_mean_squared_error)
	8.28s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T18 ... Training model for up to 942.44s of the 942.39s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5918	 = Validation score   (root_mean_squared_error)
	5.56s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T19 ... Training model for up to 937.84s of the 937.79s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.555	 = Validation score   (root_mean_squared_error)
	5.11s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T20 ... Training model for up to 933.15s of the 933.09s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5563	 = Validation score   (root_mean_squared_error)
	5.72s	 = Training   runtime
	0.13s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T21 ... Training model for up to 928.27s of the 928.22s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5452	 = Validation score   (root_mean_squared_error)
	5.44s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T22 ... Training model for up to 923.82s of the 923.77s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5651	 = Validation score   (root_mean_squared_error)
	5.4s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T23 ... Training model for up to 919.38s of the 919.32s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5453	 = Validation score   (root_mean_squared_error)
	5.08s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T24 ... Training model for up to 914.69s of the 914.63s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5574	 = Validation score   (root_mean_squared_error)
	4.96s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T25 ... Training model for up to 910.09s of the 910.04s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5448	 = Validation score   (root_mean_squared_error)
	4.96s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T26 ... Training model for up to 905.72s of the 905.67s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5468	 = Validation score   (root_mean_squared_error)
	6.7s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T27 ... Training model for up to 901.23s of the 901.17s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5586	 = Validation score   (root_mean_squared_error)
	5.82s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T28 ... Training model for up to 895.95s of the 895.89s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.7382	 = Validation score   (root_mean_squared_error)
	6.18s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T29 ... Training model for up to 891.35s of the 891.3s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5493	 = Validation score   (root_mean_squared_error)
	6.52s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T30 ... Training model for up to 886.79s of the 886.74s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5499	 = Validation score   (root_mean_squared_error)
	6.47s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T31 ... Training model for up to 881.88s of the 881.82s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5453	 = Validation score   (root_mean_squared_error)
	4.81s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T32 ... Training model for up to 877.38s of the 877.32s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5523	 = Validation score   (root_mean_squared_error)
	5.46s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T33 ... Training model for up to 872.91s of the 872.86s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5496	 = Validation score   (root_mean_squared_error)
	5.49s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T34 ... Training model for up to 868.03s of the 867.98s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.6864	 = Validation score   (root_mean_squared_error)
	5.25s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T35 ... Training model for up to 863.35s of the 863.29s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5572	 = Validation score   (root_mean_squared_error)
	6.64s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T36 ... Training model for up to 858.93s of the 858.88s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5574	 = Validation score   (root_mean_squared_error)
	5.14s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T37 ... Training model for up to 854.41s of the 854.35s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5502	 = Validation score   (root_mean_squared_error)
	7.38s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T38 ... Training model for up to 849.42s of the 849.36s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5464	 = Validation score   (root_mean_squared_error)
	5.63s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T39 ... Training model for up to 844.93s of the 844.87s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5539	 = Validation score   (root_mean_squared_error)
	4.98s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T40 ... Training model for up to 840.46s of the 840.41s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5507	 = Validation score   (root_mean_squared_error)
	6.35s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T41 ... Training model for up to 835.5s of the 835.45s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5576	 = Validation score   (root_mean_squared_error)
	5.13s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T42 ... Training model for up to 830.94s of the 830.89s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5471	 = Validation score   (root_mean_squared_error)
	5.7s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T43 ... Training model for up to 826.4s of the 826.35s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5534	 = Validation score   (root_mean_squared_error)
	5.78s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T44 ... Training model for up to 821.91s of the 821.86s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5531	 = Validation score   (root_mean_squared_error)
	6.19s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T45 ... Training model for up to 816.78s of the 816.73s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5576	 = Validation score   (root_mean_squared_error)
	5.2s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T46 ... Training model for up to 812.19s of the 812.14s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5521	 = Validation score   (root_mean_squared_error)
	6.75s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T47 ... Training model for up to 807.63s of the 807.58s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.547	 = Validation score   (root_mean_squared_error)
	8.09s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T48 ... Training model for up to 802.83s of the 802.78s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.543	 = Validation score   (root_mean_squared_error)
	5.07s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T49 ... Training model for up to 798.08s of the 798.03s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.6066	 = Validation score   (root_mean_squared_error)
	4.66s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T50 ... Training model for up to 793.68s of the 793.63s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5623	 = Validation score   (root_mean_squared_error)
	4.76s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T51 ... Training model for up to 789.25s of the 789.2s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5531	 = Validation score   (root_mean_squared_error)
	5.25s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T52 ... Training model for up to 784.43s of the 784.38s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5504	 = Validation score   (root_mean_squared_error)
	4.72s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T53 ... Training model for up to 780.06s of the 780.0s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5355	 = Validation score   (root_mean_squared_error)
	5.17s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T54 ... Training model for up to 775.2s of the 775.13s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5546	 = Validation score   (root_mean_squared_error)
	5.87s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T55 ... Training model for up to 770.4s of the 770.34s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5576	 = Validation score   (root_mean_squared_error)
	4.92s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T56 ... Training model for up to 765.93s of the 765.88s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.557	 = Validation score   (root_mean_squared_error)
	5.14s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T57 ... Training model for up to 761.29s of the 761.24s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5497	 = Validation score   (root_mean_squared_error)
	5.3s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T58 ... Training model for up to 756.51s of the 756.46s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5516	 = Validation score   (root_mean_squared_error)
	5.25s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T59 ... Training model for up to 751.91s of the 751.85s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5614	 = Validation score   (root_mean_squared_error)
	4.98s	 = Training   runtime
	0.08s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T60 ... Training model for up to 747.53s of the 747.47s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5491	 = Validation score   (root_mean_squared_error)
	6.65s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T61 ... Training model for up to 743.08s of the 743.03s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5538	 = Validation score   (root_mean_squared_error)
	5.95s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T62 ... Training model for up to 738.44s of the 738.38s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.6956	 = Validation score   (root_mean_squared_error)
	9.2s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T63 ... Training model for up to 733.92s of the 733.87s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5513	 = Validation score   (root_mean_squared_error)
	5.79s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T64 ... Training model for up to 729.5s of the 729.44s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5535	 = Validation score   (root_mean_squared_error)
	5.93s	 = Training   runtime
	0.13s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T65 ... Training model for up to 724.93s of the 724.87s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5505	 = Validation score   (root_mean_squared_error)
	5.99s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T66 ... Training model for up to 720.16s of the 720.11s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5493	 = Validation score   (root_mean_squared_error)
	5.74s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T67 ... Training model for up to 714.99s of the 714.93s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5612	 = Validation score   (root_mean_squared_error)
	5.33s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T68 ... Training model for up to 710.13s of the 710.08s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.563	 = Validation score   (root_mean_squared_error)
	5.03s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T69 ... Training model for up to 705.42s of the 705.37s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5551	 = Validation score   (root_mean_squared_error)
	5.92s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T70 ... Training model for up to 700.91s of the 700.86s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5451	 = Validation score   (root_mean_squared_error)
	6.7s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T71 ... Training model for up to 695.95s of the 695.89s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5518	 = Validation score   (root_mean_squared_error)
	6.73s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T72 ... Training model for up to 691.08s of the 691.03s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5479	 = Validation score   (root_mean_squared_error)
	6.26s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T73 ... Training model for up to 686.21s of the 686.16s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5522	 = Validation score   (root_mean_squared_error)
	6.75s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T74 ... Training model for up to 681.74s of the 681.69s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5636	 = Validation score   (root_mean_squared_error)
	4.91s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T75 ... Training model for up to 677.22s of the 677.17s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5234	 = Validation score   (root_mean_squared_error)
	5.1s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T76 ... Training model for up to 672.31s of the 672.26s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5058	 = Validation score   (root_mean_squared_error)
	4.87s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T77 ... Training model for up to 667.84s of the 667.79s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5386	 = Validation score   (root_mean_squared_error)
	4.6s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T78 ... Training model for up to 663.47s of the 663.42s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5151	 = Validation score   (root_mean_squared_error)
	5.7s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T79 ... Training model for up to 658.75s of the 658.7s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5043	 = Validation score   (root_mean_squared_error)
	5.44s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T80 ... Training model for up to 653.73s of the 653.68s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5043	 = Validation score   (root_mean_squared_error)
	4.75s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T81 ... Training model for up to 649.35s of the 649.3s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5113	 = Validation score   (root_mean_squared_error)
	5.09s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T82 ... Training model for up to 644.7s of the 644.65s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5232	 = Validation score   (root_mean_squared_error)
	5.05s	 = Training   runtime
	0.09s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T83 ... Training model for up to 639.99s of the 639.94s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.4991	 = Validation score   (root_mean_squared_error)
	5.22s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T84 ... Training model for up to 635.48s of the 635.43s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.4954	 = Validation score   (root_mean_squared_error)
	5.61s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T85 ... Training model for up to 630.93s of the 630.88s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.4916	 = Validation score   (root_mean_squared_error)
	7.96s	 = Training   runtime
	0.13s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T86 ... Training model for up to 624.61s of the 624.55s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.4979	 = Validation score   (root_mean_squared_error)
	6.76s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T87 ... Training model for up to 619.37s of the 619.31s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.4957	 = Validation score   (root_mean_squared_error)
	6.65s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T88 ... Training model for up to 614.76s of the 614.71s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5062	 = Validation score   (root_mean_squared_error)
	6.75s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T89 ... Training model for up to 609.55s of the 609.5s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.4942	 = Validation score   (root_mean_squared_error)
	6.22s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T90 ... Training model for up to 604.75s of the 604.7s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.4992	 = Validation score   (root_mean_squared_error)
	6.34s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T91 ... Training model for up to 600.02s of the 599.96s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.4912	 = Validation score   (root_mean_squared_error)
	6.49s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T92 ... Training model for up to 594.91s of the 594.85s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5081	 = Validation score   (root_mean_squared_error)
	5.94s	 = Training   runtime
	0.1s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T93 ... Training model for up to 589.98s of the 589.92s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.4999	 = Validation score   (root_mean_squared_error)
	6.65s	 = Training   runtime
	0.12s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T94 ... Training model for up to 585.2s of the 585.14s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5013	 = Validation score   (root_mean_squared_error)
	6.16s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T95 ... Training model for up to 580.26s of the 580.2s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5008	 = Validation score   (root_mean_squared_error)
	6.31s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T96 ... Training model for up to 575.14s of the 575.08s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.5034	 = Validation score   (root_mean_squared_error)
	5.95s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: LightGBM_BAG_L4\T97 ... Training model for up to 570.38s of the 570.33s of remaining time.
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
Attempting to fit model without HPO, but search space is provided. fit() will only consider default hyperparameter values from search space.
C:\Users\HP\Anaconda3\envs\AWS  Deep LEarning\lib\site-packages\lightgbm\engine.py:239: UserWarning: 'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.
  _log_warning("'verbose_eval' argument is deprecated and will be removed in a future release of LightGBM. "
[LightGBM] [Warning] Unknown parameter: 50
	-35.4978	 = Validation score   (root_mean_squared_error)
	5.95s	 = Training   runtime
	0.11s	 = Validation runtime
Fitting model: WeightedEnsemble_L5 ... Training model for up to 360.0s of the 565.01s of remaining time.
	-35.4876	 = Validation score   (root_mean_squared_error)
	0.34s	 = Training   runtime
	0.0s	 = Validation runtime
AutoGluon training complete, total runtime = 1535.39s ...
TabularPredictor saved. To load, use: predictor = TabularPredictor.load("AutogluonModels/ag-20211211_111356\")
In [184]:
predictor.leaderboard(df_features, silent=True)
Out[184]:
model score_test score_val pred_time_test pred_time_val fit_time pred_time_test_marginal pred_time_val_marginal fit_time_marginal stack_level can_infer fit_order
0 LightGBM_BAG_L1\T4 -17.815342 -34.169053 1.708016 0.275843 7.039939 1.708016 0.275843 7.039939 1 True 5
1 LightGBM_BAG_L1\T1 -17.977535 -34.134480 1.160332 0.247857 5.996946 1.160332 0.247857 5.996946 1 True 2
2 LightGBM_BAG_L2\T31 -18.435657 -34.080935 102.471532 15.025370 182.271012 0.799539 0.199886 11.675263 2 True 51
3 LightGBM_BAG_L2\T7 -18.547666 -34.119909 101.918851 14.898440 173.909827 0.246858 0.072956 3.314078 2 True 27
4 LightGBM_BAG_L2\T4 -18.647891 -34.129373 101.999804 14.906437 174.027758 0.327811 0.080954 3.432009 2 True 24
... ... ... ... ... ... ... ... ... ... ... ... ...
246 LightGBM_BAG_L4\T24 -19.495032 -35.557360 151.717381 27.881863 769.063504 0.287834 0.093946 4.956145 4 True 177
247 LightGBM_BAG_L4\T51 -19.502258 -35.553092 151.716381 27.881861 769.354323 0.286835 0.093944 5.246965 4 True 204
248 LightGBM_BAG_L4\T34 -19.503884 -35.686382 151.769351 27.883861 769.362318 0.339805 0.095944 5.254960 4 True 187
249 LightGBM_BAG_L1\T5 -19.701515 -33.618542 7.228837 1.044400 9.986228 7.228837 1.044400 9.986228 1 True 6
250 LightGBM_BAG_L1\T12 -19.715778 -33.701111 3.340077 0.566677 8.713440 3.340077 0.566677 8.713440 1 True 13

251 rows × 12 columns

In [185]:
# Remember to set all negative values to zero
predictor_hp_v4 = predictor.predict(df_test)
predictor_hp_v4[predictor_hp_v4<0] = 0

# Same submitting predictions
submission_hypo = pd.read_csv('sampleSubmission.csv')
submission_hypo["count"] = predictor_hp_v4
submission_hypo.to_csv("submission_submission_hp_v4.csv", index=False)
In [186]:
!kaggle competitions submit -c bike-sharing-demand -f submission_submission_hp_v4.csv -m "new hyperparameters V4  "
!kaggle competitions submissions -c bike-sharing-demand  
Successfully submitted to Bike Sharing Demand
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,

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fileName                                 date                 description                                   status    publicScore  privateScore  
---------------------------------------  -------------------  --------------------------------------------  --------  -----------  ------------  
submission_submission_hp_v4.csv          2021-12-11 15:59:00  new hyperparameters V4                        complete  0.44957      0.44957       
submission_time_search_5min.csv          2021-12-11 10:12:57  5 min train submit                            complete  0.44793      0.44793       
submission_submission_hp_v4.csv          2021-12-11 09:09:50  new hyperparameters V4                        complete  0.48757      0.48757       
submission_submission_hp_v4.csv          2021-12-11 08:52:06  new hyperparameters V4                        complete  0.48080      0.48080       
submission.csv                           2021-12-11 08:34:12  first raw submission                          complete  1.40041      1.40041       
submission_submission_hp_v4.csv          2021-12-10 18:11:50  new hyperparameters V4                        complete  0.45257      0.45257       
submission_submission_hp_v4.csv          2021-12-10 16:42:13  new hyperparameters V4                        complete  0.46035      0.46035       
submission_submission_RMSLE.csv          2021-12-10 14:44:00  Custome Eval Metric                           complete  0.45892      0.45892       
submission_submission_hypov2.csv         2021-12-10 14:23:31  new features with hyperparameters V2          complete  0.45490      0.45490       
submission_submission_hypov2.csv         2021-12-10 13:57:06  new features with hyperparameters V2          complete  0.57647      0.57647       
submission_submission_hypo.csv           2021-12-10 10:07:22  new features with hyperparameters             complete  0.45563      0.45563       
submission_time_search_5min.csv          2021-12-10 09:23:07  5 min train submit                            complete  0.44797      0.44797       
submission_import_features.csv           2021-12-08 13:55:39  Feature Importance                            complete  0.45194      0.45194       
submission_import_features.csv           2021-12-08 13:53:11  Feature Importance                            complete  0.45414      0.45414       
submission_import_features.csv           2021-12-08 13:51:11  Feature Importance                            complete  0.45749      0.45749       
submission_import_features.csv           2021-12-08 13:48:53  Feature Importance                            complete  0.45210      0.45210       
submission_import_features.csv           2021-12-08 13:44:55  Feature Importance                            complete  0.48275      0.48275       
submission_import_features.csv           2021-12-08 13:42:28  Feature Importance                            complete  0.45753      0.45753       
submission_import_features.csv           2021-12-08 13:39:01  Feature Importance                            complete  0.45939      0.45939       
submission_new_featuresV3.csv            2021-12-08 12:44:41  new features_AdvancedV3                       complete  0.45274      0.45274       
submission_new_features_Advanced_V1.csv  2021-12-08 12:20:43  new features Advanced V1                      complete  0.45810      0.45810       
submission_new_features_Advanced_V1.csv  2021-12-08 12:20:12  new features                                  complete  0.45810      0.45810       
submission_new_features_log.csv          2021-12-08 12:07:08  NF - Model 2  (Basic  Log Transform )         complete  0.50789      0.50789       
submission_new_features_log.csv          2021-12-08 12:06:06  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features_log.csv          2021-12-08 11:34:53  NF - Model 2  (Basic  Log Transform )         complete  0.50674      0.50674       
submission_new_features.csv              2021-12-08 11:24:55  NF - Model 1  (Basic  Time Catogricla data )  complete  0.50674      0.50674       
submission.csv                           2021-12-08 11:13:27  first raw submission                          complete  1.38952      1.38952       
submission_new_hpo.csv                   2021-12-08 11:06:33  new features with hyperparameters Tune        complete  0.48748      0.48748       
submission_new_hpo.csv                   2021-12-08 09:14:10  new features with hyperparameters Tune        complete  0.51858      0.51858       
submission_new_hpo_ensV4.csv             2021-12-07 15:02:09  new features with hyperparameters Vקרדןםמ 4   complete  0.48961      0.48961       
submission_new_hpo.csv                   2021-12-07 14:29:38  new features with hyperparameters Tune        complete  0.48338      0.48338       
submission_new_featuresV3.csv            2021-12-07 14:00:06  new featuresV3                                complete  0.45074      0.45074       
submission_new_featuresV2.csv            2021-12-07 13:39:45  new features                                  complete  0.50306      0.50306       
submission_new_features.csv              2021-12-07 13:09:48  new features                                  complete  0.51097      0.51097       
submission.csv                           2021-12-07 13:04:23  first raw submission                          complete  1.39309      1.39309       
submission_new_hpo.csv                   2021-12-07 11:12:13  new features with hyperparameters Tune        complete  0.45509      0.45509       
submission_new_featuresV3.csv            2021-12-07 10:53:43  new featuresV3                                complete  0.45057      0.45057       
submission_new_featuresV2.csv            2021-12-07 10:43:05  new features                                  complete  0.47595      0.47595       
submission_new_featuresV2.csv            2021-12-07 10:42:32  new features                                  error     None         None          
submission_new_features.csv              2021-12-07 10:32:26  new features                                  complete  0.50670      0.50670       
submission.csv                           2021-12-07 10:24:27  first raw submission                          complete  1.38989      1.38989       
submission_new_hpo.csv                   2021-12-07 09:08:34  new features with hyperparameters             complete  0.46172      0.46172       
submission_new_hpo.csv                   2021-12-07 08:59:07  new features with hyperparameters             complete  0.45760      0.45760       
submission_new_features.csv              2021-12-06 20:57:01  new features                                  complete  0.44755      0.44755       
submission_new_features.csv              2021-12-06 20:50:18  new features                                  complete  0.44577      0.44577       
submission_new_features.csv              2021-12-06 20:45:43  new features                                  complete  0.44592      0.44592       
submission_RMSLE.csv                     2021-12-06 17:57:57  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:46:31  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:25:04  Custome Eval Metric                           complete  0.46093      0.46093       
submission_RMSLE.csv                     2021-12-06 17:13:44  Custome Eval Metric                           complete  0.46093      0.46093       
c:\users\hp\anaconda3\envs\aws  deep learning\lib\site-packages\cryptography\hazmat\backends\openssl\x509.py:17: CryptographyDeprecationWarning: This version of cryptography contains a temporary pyOpenSSL fallback path. Upgrade pyOpenSSL now.
  utils.DeprecatedIn35,

Step 7: Write a Report

Refer to the markdown file for the full report

Creating plots and table for report

In [175]:
# Taking the top model score from each training run and creating a line plot to show improvement
# You can create these in the notebook and save them to PNG or use some other tool (e.g. google sheets, excel)
fig = pd.DataFrame(
    {
        "model": ["initial", "add_features", "hpo"],
        "score": [118.456660, 47.885773, 47.877308]
    }
).plot(x="model", y="score", figsize=(8, 6)).get_figure()
fig.savefig('model_train_score.png')
In [176]:
# Take the 3 kaggle scores and creating a line plot to show improvement
fig = pd.DataFrame(
    {
        "test_eval": ["initial", "add_features", "hpo"],
        "score": [1.3, 0.451, 0.44793]
    }
).plot(x="test_eval", y="score", figsize=(8, 6)).get_figure()
fig.savefig('model_test_score.png')

Hyperparameter table

In [ ]:
# The 3 hyperparameters we tuned with the kaggle score as the result
pd.DataFrame({
    "model": ["initial", "add_features", "hpo"],
    "hpo1": [?, ?, ?],
    "hpo2": [?, ?, ?],
    "hpo3": [?, ?, ?],
    "score": [?, ?, ?]
})